01Impact factor
Impact factor of PLOS Digital Health (2026)
The impact factor shown here is the 2-year mean citedness: citations received in a year by the papers PLOS Digital Health published in the two previous years, divided by the number of those papers. That is the same formula as the Journal Impact Factor, applied to the open citation data of OpenAlex. The journal is not listed in JCR 2024, so it has no official Journal Impact Factor from Clarivate; the value above is how often its recent papers are cited.
Rank in its subject categories
- Q1Health Care Sciences & Servicesrank 11 of 199 journals
- Q1Medical Informaticsrank 12 of 49 journals
Quartiles here rank journals of the same Web of Science category by 2-year citedness; they are not the official JCR quartiles.
Citations and papers per year
Open access (listed in DOAJ); article processing charge listed at about US$3,043.
02Indexing
Indexing of PLOS Digital Health
- eISSN
- 2767-3170
- Publisher
- Public Library of Science
- Scopus source type
- Journal
- Web of Science categories
- Health Care Sciences & Services, Medical Informatics
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
03What it publishes
What PLOS Digital Health publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
04Published papers
Papers published in PLOS Digital Health
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- Evaluating large language model performance and reliability in scoring picture description tasks for neuropsychological assessment20260 citations
- Leveraging large language models for rare disease named entity recognition20260 citations
- Decentralized clinical trials: A comprehensive analysis of trends, technologies, and global challenges20260 citations
- Portability of a text mining algorithm for detecting adverse drug reactions in electronic health records across diverse patient groups in two Dutch hospitals20260 citations
- Predicting adherence to fully-automated, chatbot-delivered digital cognitive behavioral therapy for insomnia (dCBT-I) using machine learning: A pilot real-world study20260 citations
- Taking a closer look: Can an app improve diagnostic accuracy in urgent care? Cluster-randomized interventional trial DASI20260 citations
- Healthcare professionals show high AI enthusiasm but limited knowledge: A cross-sectional study20260 citations
- Machine Learning-Based Pattern Recognition of Risk Factors for Low Back Pain among Adolescent Cricket Players in Dhaka City20260 citations
- Narrowing the A1c gap: Personalized modeling of HbA1c–continuous glucose monitor discordance in type 1 diabetes20260 citations
- … the impact of discordant and missing demographic information on population health assessments using linked electronic health records and Census Bureau …20260 citations
- Functional connectivity–based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach20260 citations
- Remote home cardiotocography: A systematic review and meta-analysis20260 citations
- Interpretable depression assessment using a large language model20260 citations
- Hierarchy and hope: Exploring AI's role in medicine through a thematic analysis of online discourse20260 citations
- … model-based paradigm to assess acceptance and satisfaction with electronic health information system by healthcare providers in resource-limited governmental and …20260 citations
- Participatory-informed preference optimization (PiPrO): A reinforcement learning simulation study20260 citations
- Explainable artificial intelligence for personalized prognosis in pancreatic cancer: A nationwide study from Taiwan20260 citations
- Equity, accessibility, and public health implications of digital platforms delivering real-time air quality information: A technology review20260 citations
- Comparing human vs. machine-assisted analysis to develop a new approach for Big Qualitative Data Analysis20260 citations
- Telemedicine adoption in cardiology: Determinants and predictors identified using Bayesian Model Averaging and Machine Learning20260 citations
- Development and validation of an artificial intelligence model based on liver CSE-MRI fat maps for predicting dyslipidemia20260 citations
- Segment anything small for ultrasound: Enhancing segmentation with non-generative augmentation20260 citations
- The adaptive large language models for vaccine prediction: A novel approach to vaccine demand prediction with engineered deviation prompts20260 citations
- Visual recognition limitations in multimodal large language models: A comparative analysis of histological image interpretation20260 citations
- “It's like a toxic relationship”: Examining internal conflict experienced in wearable activity tracker users20260 citations
- Optimizing vedolizumab therapy in ulcerative colitis: A critical synthesis of trial evidence and the emerging role of artificial intelligence20260 citations
- Interpretable machine learning for predicting delays in seeking abortion among reproductive-aged women in Ethiopia: A study using EDHS 2016 data20260 citations
- MITO-VATION: Feasibility of a technology-supported structured home exercise program in Mitochondrial Disease20260 citations
- Feasibility, acceptability and effectiveness of digitally delivered multimodal prehabilitation for cancer patients: A mixed-methods systematic review20260 citations
- Safeguarding patient privacy in eHealth systems: Bridging theory and practice through a scoping review and healthcare survey20260 citations
- Lessons learned from implementing FAIRification workflows in diabetes research in Germany20260 citations
- Beyond translation: A review into preserving human connection in AI-mediated health language interpretation20260 citations
- A novel statistical framework for quantifying risks and benefits of AI automation in screening mammography20260 citations
- Comparing regular expression and machine learning approaches to predict immigrant status from primary care electronic medical record data in Ontario, Canada20260 citations
- Association between deep learning–based atrial fibrillation burden and in-hospital mortality20260 citations
- Dharma: A novel, clinically grounded machine learning framework for pediatric appendicitis—Diagnosis, severity assessment and evidence-based clinical decision …20260 citations
- Privacy concerns regarding personal health information in Myanmar: A cross-sectional survey in a least developed country20260 citations
- Patterns of smartphone typing performance by time awake: implications for unobtrusive ambulatory mental fatigue assessment20260 citations
- Improvements in blood and fitness tracker biomarkers in a longitudinal real-world cohort of digital health platform users20260 citations
- ICD coding of death certificates with generative language models20260 citations
- Diffusion-synthesized Chest X-rays improve fairness and diagnostic performance20260 citations
- AI-ECG classification for Brugada syndrome: A study of machine learning techniques to optimise for limited datasets20260 citations
- Classification of knowledge of fertility period among adolescent girls in East Africa from 2012 to 2022: Machine learning algorithm20260 citations
- Predicting vesicoureteral reflux outcomes using artificial intelligence: A critical appraisal using APPRAISE-AI20260 citations
- Impact of virtual ICU implementation on clinical outcomes across multiple critical care units: A before-and-after study20260 citations
- Immersive virtual reality-based intervention for psychological wellbeing among older adults: A systematic review and meta-analysis20260 citations
- Development and validation of interpretable multimodal clinical-radiomics models for predicting epileptogenic foci and surgical outcomes in tuberous sclerosis …20260 citations
- Using big data to search for possible geographic clustering of Congenital Heart Disease (CHD) across Australia20260 citations
- Toward developing adolescent-centered machine learning methods to detect depression: Interviews with Latino adolescents to identify signals of emotional and …20260 citations
- … feasibility study of human-centered design for cirrhosis care: Development and pilot testing of SMARTLiver prototype, a FHIR-based clinical decision support system …20260 citations
- AVPENet: Pain estimation from audio-visual fusion of non-speech sounds20260 citations
- Advancing the science of qualitative patient preference assessment using large language models20260 citations
- SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare20260 citations
- Economic cost of strategic implementation approaches to increase uptake of digital therapeutics for substance use disorders in a large integrated health system20260 citations
- Perceptions and knowledge of machine learning for paediatric related decision support in emergency care–A UK and Ireland network survey study of clinician leaders20260 citations
- Awareness, trust, and expectations of AI for glaucoma care among Bulgarian ophthalmologists: Role of demographic factors20260 citations
- Recent advances in corneal specular microscopy image analysis through artificial intelligence20260 citations
- Bridging the divide in digital therapeutics (DTx): Partnership strategies for broader representation across DTx development and deployment20260 citations
- Machine learning based classification of aggressive and malignant renal tumors from multimodal data20260 citations
- Empowering the nursing workforce for cyber-resilience: Strategic preparedness and care management during hospital cyberattacks20260 citations
- Moving beyond the empty cell: The threat of decontextualized healthcare data20260 citations
- Autism data sharing: Benefits, challenges, and recommendations20260 citations
- Validation of a markerless motion capture app for automated scoring of sit-to-stand, timed up and go, and short physical performance battery tests in adults with …20260 citations
- Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging20260 citations
- AID-FGS: Artificial intelligence-enabled diagnosis of female genital schistosomiasis: Preliminary findings20260 citations
- Development and evaluation of machine learning algorithms for the prediction of opioid-related deaths among UK patients with non-cancer pain20260 citations
- Vascular age estimation using a consumer wearable sleep tracker20260 citations
- Digital health interventions for women in frontline public service roles: A systematic review of effectiveness in reducing substance use20260 citations
- SomaVR: A low-cost virtual reality platform and implementation framework for medical education in resource-limited settings20260 citations
- SomaVR: A low-cost virtual reality platform and implementation framework for medical education in resource-limited settings. PLOS Digit Health 5 (2): e000125320260 citations
- Engaging Artificial Intelligence (AI)-based chatbots in digital health: A systematic review20260 citations
- … daily activities with ecological momentary assessment: A bibliometric analysis of current use in health Mapping daily activities with ecological momentary assessment20260 citations
- Evaluating few-shot prompting for spectrogram-based lung sound classification using a multimodal language model20260 citations
- … and validation of interpretable multimodal clinical-radiomics models for predicting epileptogenic foci and surgical outcomes in tuberous sclerosis complex: A …20260 citations
- Video-based detection of Delirium in hospitalized adults20260 citations
- A systematic review of the limitations of large language models in generating healthcare content20260 citations
- A global analysis of national cardiovascular disease control plans using a multi-agent artificial intelligence model20260 citations
- Rapid antithrombin assay from human blood plasma utilizing smartphone-based flow observation on paper chips20260 citations
- Beyond overconfidence: Embedding curiosity and humility for ethical medical AI20260 citations
- Impact of electronic health records on nursing workflow efficiency and predictive factors in Palestinian hospitals20260 citations
- Chatbot-assisted self-assessment (CASA): Co-designing an AI-powered behaviour change intervention for ethnic minorities20250 citations
- Leveraging large language models for automated depression screening20250 citations
- Perspectives of family medicine residents on artificial intelligence for survival estimation in patients with serious illness20250 citations
- Integrating digital health technologies into the healthcare system: Challenges and opportunities in Nigeria20250 citations
- Image Imputation with conditional generative adversarial networks captures clinically relevant imaging features on computed tomography20250 citations
- Efficient slice anomaly detection network for 3D brain MRI Volume20250 citations
- Morphology and calcification characterization in patients undergoing TAVI: A 3D statistical shape modelling study20250 citations
- Standardization and accuracy of race and ethnicity data: Equity implications for medical AI20250 citations
- Identification of physiological adverse events using continuous vital signs monitoring during paediatric critical care transport: a novel data-driven approach20250 citations
- Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice20250 citations
- Continuous Glucose Monitoring under standardised conditions regarding diet, exercise and stress in Healthy Young People (CGM-HYPE study): An exploratory …20250 citations
- Explore barriers to using the internet for health information access in African countries: A systematic review20250 citations
- Collaborative intelligence in AI: Evaluating the performance of a council of AIs on the USMLE20250 citations
- Developing artificial intelligence tools for institutional review board pre-review: A pilot study on ChatGPT's accuracy and reproducibility20250 citations
- Forecasting mental States in schizophrenia using digital phenotyping data20250 citations
- Perinatal mental health care goes digital: Opportunities for digital health to revolutionize the care delivery for healthier pregnancies and outcomes20250 citations
- A flexible framework for minimal biomarker signature discovery from clinical omics studies without library size normalisation20250 citations
- Patient engagement strategies in digital health interventions for cancer survivors: A scoping review20250 citations
- Patient information needs for transparent and trustworthy cardiovascular artificial intelligence: A qualitative study20250 citations
- Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review20250 citations
- Implementation and impact of mhealth in the management of diabetes mellitus in Africa: A systematic review and meta-analysis20250 citations
- Barriers and facilitators of provision of telemedicine in Nigeria: A systematic review20250 citations
- … -informed features from CGM data provide unique information for XGBoost prediction of longer-term glycemic dysregulation in 8,000 individuals with type-2 diabetes20250 citations
- Artificial intelligence applications in refractive error management: A systematic review and meta-analysis20250 citations
- AI-driven healthcare: A review on ensuring fairness and mitigating bias20250 citations
- Deep learning-based assessment of pulp involvement in primary molars using YOLO v820250 citations
- Self-contrastive weakly supervised learning framework for prognostic prediction using whole slide images20250 citations
- AI-driven healthcare: Fairness in AI healthcare: A survey.20250 citations
- Are Machine Learning methods effective in detecting undiagnosed atrial fibrillation in primary care settings using electronic health records? A systematic review20250 citations
- Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria20250 citations
- Evaluation of a Canadian social media platform for communicating perinatal health information during a pandemic20250 citations
- Developing a youth-friendly internet-enabled HIV risk calculator: A collaborative approach with young key populations, living in Soweto, South Africa20250 citations
- Artificial intelligence as a tool for improving health literacy in kidney care20250 citations
- Which social media platforms facilitate monitoring the opioid crisis?20250 citations
- mHealth technologies in research studying cardiovascular health in cancer: A systematic review20250 citations
- Deep sleep homeostatic response to naturalistic sleep loss20250 citations
- Effectiveness of telerehabilitation for adults with neurological conditions in low and middle income countries: A systematic review20250 citations
- “It is very convenient when it works–successes and challenges with welfare technology”-a qualitative study20250 citations
- Step-by-step causal analysis of EHRs to ground decision-making20250 citations
- AI-powered precision in dental radiographic analysis using tailored CNNs for tooth numbering and cavity detection20250 citations
- Development and validation of a multi-modal contactless sensing system for surgical risk analysis in a real-world environment20250 citations
- Health literacy is much more than knowing about health; it also involves the emotions experienced during illness20250 citations
- Exploring perspectives on digital smoking cessation just-in-time adaptive interventions: A focus group study with adult smokers and smoking cessation professionals20250 citations
- Consent-driven, semi-automated data collection during birth and newborn resuscitation: Insights from the NewbornTime study20250 citations
- Examining Canadian youth's engagement with food companies via digital media20250 citations
- Enhancing fairness in disease prediction by optimizing multiple domain adversarial networks20250 citations
- Detecting papilloedema as a marker of raised intracranial pressure using artificial intelligence: A systematic review20250 citations
- Uses of augmented reality in surgical consent and patient education–A systematic review20250 citations
- Individualized machine-learning-based clinical assessment recommendation system. PLOS Digit Health 4 (9): e000102220250 citations
- Clinical insights: A comprehensive review of language models in medicine20250 citations
- Artificial intelligence in pancreatic intraductal papillary mucinous neoplasm imaging: a systematic review20250 citations
- Radiomics analysis for the early diagnosis of common sexually transmitted infections and skin lesions20250 citations
- AI-driven personalized nutrition: RAG-based digital health solution for obesity and type 2 diabetes20250 citations
- Leveraging social media data to study disease and treatment characteristics of Hodgkin's lymphoma Using Natural Language Processing methods20250 citations
- Detection of pneumonia in children through chest radiographs using artificial intelligence in a low-resource setting: A pilot study20250 citations
- Exploring the sustainability of virtual care interventions: a scoping review20250 citations
- Design and feasibility of smartphone-based digital phenotyping for long-term mental health monitoring in adolescents20250 citations
- … algorithmic fairness of machine learning models in predicting underweight, overweight, and adiposity across socioeconomic and caste groups in India: evidence from …20250 citations
- Telemonitoring starting in the emergency department as an alternative to acute hospital admission: A prospective pilot study focusing on patient preferences and first …20250 citations
- Augmenting electronic health record data with social and environmental determinant of health measures to understand regional factors associated with asthma …20250 citations
- Factors motivating maternal healthcare clients to use mHealth interventions in rural Malawi20250 citations
- Wearables research for continuous monitoring of patient outcomes: A scoping review20250 citations
- Network-based proactive contact tracing: A pre-emptive, degree-based alerting framework for privacy-preserving COVID-19 apps20250 citations
- Accuracy of preferred language data in a multi-hospital electronic health record in Toronto, Canada20250 citations
- Pharmacist-led rapid uptitration clinic in heart failure patients with reduced ejection fraction: our experience within a virtual ward20250 citations
- Eliminating the AI digital divide by building local capacity20250 citations
- Feasibility and efficacy of a real-time smoking intervention using wearable technology20250 citations
- The NASSS (Non-Adoption, Abandonment, Scale-Up, Spread and Sustainability) framework use over time: a scoping review20250 citations
- A BLE based turnkey indoor positioning system for mobility assessment in aging-in-place settings20250 citations
- Nurses' experiences with inhospital continuous monitoring of vital signs in general wards: A systematic review20250 citations
- Medical Imaging Data Calls for a Thoughtful and Collaborative Approach to Data Governance20250 citations
- Nursing activities and associated workload of nurses in virtual care centres: A multicentre observational study20250 citations
- Diabetes-focused food recommender system (DFRS) to enabling digital health20250 citations
- The role of artificial intelligence in maternal and child health: Progress, controversies, and future directions20250 citations
- Introducing the Team Card: Enhancing governance for medical Artificial Intelligence (AI) systems in the age of complexity20250 citations
- Explainable machine learning model for predicting cesarean section following induction of labor: Development and external validation using real-world data20250 citations
- Practitioners' perspectives on implementation of acute virtual wards: A scoping review20250 citations
- Employing transfer learning for breast cancer detection using deep learning models20250 citations
- A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach20250 citations
- Design approaches for developing quality checklists in healthcare organizations: a scoping review20250 citations
- Challenges in detecting and predicting adverse drug events via distributed analysis of electronic health record data from German university hospitals20250 citations
- Risk factors and predictive performance for first healthcare encounter indicating homelessness using administrative data among Calgary residents diagnosed with …20250 citations
- AI-assisted assessment of the IFSO consensus on obesity management medications in the context of metabolic bariatric surgery20250 citations
- Bridging data gaps and tackling human vulnerabilities in healthcare cybersecurity with generative AI20250 citations
- Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype …20250 citations
- Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review20250 citations
- Privacy-preserving AUC computation in distributed machine learning with PHT-meDIC20250 citations
- Assessing perioperative risks in a mixed elderly surgical population using machine learning: A multi-objective symbolic regression approach to cardiorespiratory …20250 citations
- Epidemiological methods in transition: Minimizing biases in classical and digital approaches20250 citations
- Evaluating the feasibility, adoption, cost-effectiveness, and sustainability of telemedicine interventions in managing COVID-19 within low-and-middle-income countries …20250 citations
- Safety of human-AI cooperative decision-making within intensive care: A physical simulation study20250 citations
- Empowering Ethiopia's digital citizenship in early-career healthcare leadership20250 citations
- Epidemiological methods in transition: Minimizing biases in classical and digital approaches. PLOS Digit Health 4 (1): e000067020250 citations
- What makes clinical machine learning fair? A practical ethics framework20250 citations
- Combating noncommunicable diseases in a digital world: Youth shaping the future through digital citizenship for health20250 citations
- Experiences of social support and the role of engagement in a digital educational support group for adolescent mothers' health in the Dominican Republic20250 citations
- Integrating multiple data sources to predict all-cause readmission or mortality in patients with substance misuse20250 citations
- Children's digital privacy on fast-food and dine-in restaurant mobile applications20250 citations
- Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings20250 citations
- A multi-agent approach to neurological clinical reasoning20250 citations
- Systemic transphobia and ongoing barriers to healthcare for transgender and nonbinary people: A historical analysis of# TransHealthFail20250 citations
- Design and implementation of digital literacy training programme: Findings of a quasi-experimental study from rural India20250 citations
- Multi-modal machine learning approach for early detection of neurodegenerative diseases leveraging brain MRI and wearable sensor data20250 citations
- Methodological approaches and author-reported limitations in evaluation studies of digital health technologies (DHT): A scoping review of DHT interventions for …20250 citations
- Predicting in-hospital indicators from wearable-derived signals for cardiovascular and respiratory disease monitoring: an in silico study20250 citations
- Heterogeneous effects of physical activity on physiological stress during pregnancy20250 citations
- High-flying precision medicine: Leveraging wearable technology for in-flight emergencies20250 citations
- Implementation of large language models in electronic health records20250 citations
- A case study on barriers to the research implementation of a novel technology in an academic medical center20250 citations
- Key factors influencing educational technology adoption in higher education: A systematic review20250 citations
- Digital citizen science for ethical monitoring of youth physical activity frequency: Comparing mobile ecological prospective assessments and retrospective recall20250 citations
- Personalized decision-making through AI solutions in pediatric emergency medicine: Focusing on febrile children20250 citations
- Caregiver experiences of an integrative patient-centered digital health application for pediatric type 1 diabetes care: findings from a pilot clinical trial20250 citations
- Dental age prediction from panoramic radiographs using machine learning techniques20250 citations
- Reliability of online, remote neuropsychological assessment in people with and without subjective cognitive decline20250 citations
- Addressing data management and analysis challenges in viral genomics: the Swiss HIV cohort study viral next generation sequencing database20250 citations
- Towards precision psychiatry: Metabolomics identifies three biological subtypes of depression20250 citations
- Comparison of anonymization techniques regarding statistical reproducibility20250 citations
- Evaluation of the virtual care experience for persons in prospective cohorts with HIV during the COVID pandemic20250 citations
- Implementation of remote-sensing models to identify post-disaster health facility damage: Comparative approaches to the 2023 earthquake in Turkey20250 citations
- Evaluating ChatGPT-4 in the development of family medicine residency examinations20250 citations
- Bridging the gap between community health workers' digital health acceptance and actual usage in Uganda: Exploring key external factors based on technology …20250 citations
- Validation and user experience testing of DataCryptChain: An open-source standard combining blockchain technology with asymmetric encryption for private, secure …20250 citations
- Effectiveness and user experience of a virtual reality intervention in a cohort of patients with chronic musculoskeletal pain syndromes20250 citations
- Development and evaluation of a lightweight large language model chatbot for medication enquiry20250 citations
- Integrating rare diseases into Africa's digital health strategies20250 citations
- From artificial to organic: Rethinking the roots of intelligence for digital health20250 citations
- Bridging the gaps in Universal Health Coverage using Digital Health Citizenship20250 citations
- Longitudinal image-based prediction of surgical intervention in infants with hydronephrosis using deep learning: Is a single ultrasound enough?20250 citations
- Subgroup evaluation to understand performance gaps in deep learning-based classification of regions of interest on mammography20250 citations
- Emulating real-world GLP-1 efficacy in type 2 diabetes through causal learning and virtual patients20250 citations
- Towards responsible surveillance in preventive health data-AI research20250 citations
- Ranking and selecting hospital information systems: A multi-criteria decision making approach using TOPSIS in Hamadan, Iran20250 citations
- Deep neural network modeling for brain tumor classification using magnetic resonance spectroscopic imaging20250 citations
- Addressing technology-mediated stigma in sexual health-related digital platforms: Insights from design team members20250 citations
- Missed opportunities for digital health data use in healthcare decision-making: A cross-sectional digital health landscape assessment in Homa Bay county, Kenya20250 citations
- AI in clinical diagnostics: Is overreliance eroding clinical expertise?20250 citations
- A mapping survey of digital clinical consultations in maternity care in England20250 citations
- Significant reduction in manual annotation costs in ultrasound medical image database construction through step by step artificial intelligence pre-annotation20250 citations
- Development and evaluation of large-language models (LLMs) for oncology: A scoping review20250 citations
- Adapting the WHO ANC digital module for the NAMAI study: Formative research to inform implementation science interventions for enhanced quality service delivery …20250 citations
- A quantitative study of pathologists' perceptions towards artificial intelligence-assisted diagnostic system20250 citations
- Regulating medical AI before midnight strikes: Addressing bias, data fidelity, and implementation challenges20250 citations
- Evaluating the predictive accuracy of cognitive screeners BAMCOG and MoCA in identifying postoperative delirium risk in aortic valve replacement patients: A cohort …20250 citations
- Machine learning-based equations for improved body composition estimation in Indian adults20250 citations
- Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention20250 citations
- Feature representation in analysing childhood vaccination defaulter risk predictors: a scoping review of studies in low-resource settings20250 citations
- Longitudinal wearable sensor data enhance precision of Long COVID detection20250 citations
- Impact of digital wound care solution on healing time: A descriptive study in home health settings20250 citations
- Determinants of photoplethysmography signal quality at the wrist20250 citations
- Exploring the diagnostic accuracy of an HIV self-test optimized by a digital app-based solution: Results from a secondary data analysis of a field trial in South Africa20250 citations
- A comparative approach of machine learning models to predict attrition in a diabetes management program20250 citations
- Developing and validating an explainable digital mortality prediction tool for extremely preterm infants20250 citations
- Navigating digital frontiers in UAE healthcare: A qualitative exploration of healthcare professionals' and patients' experiences with AI and telemedicine20250 citations
- Preclinical usability evaluation of the Liveborn app: A mobile health application that provides feedback for neonatal resuscitation20250 citations
- Phytochemical profiling and GC-MS analysis of bioactive compounds in methanolic crude extract of Beta vulgaris (BV) root from Bangladesh20250 citations
- Short-horizon neonatal seizure prediction using EEG-based deep learning20250 citations
- Video-based telemedicine utilization patterns and associated factors among racial and ethnic minorities in the United States during the COVID-19 pandemic: a mixed …20250 citations
- The Healthy Environments and Active Living for Translational Health (HEALTH) Platform: A smartphone-based system for geographic ecological momentary …20250 citations
- Machine learning-based hybrid risk estimation system (ERES) in cardiac surgery: Supplementary insights from the ASA score analysis20250 citations
- Machine learning for the prediction of urosepsis using electronic health record data20250 citations
- Impak Sihat: A telehealth system development and feasibility evaluation to empower rural population in Malaysia on the quality use of medicines20250 citations
- Assessment of digital therapeutics in decentralized clinical trials: A scoping review20250 citations
- Exploring mental health literacy among information technology (IT) professionals: Twitter content analysis20250 citations
- Primary care physicians' perspectives on digital health tools for chronic disease management: A rapid review20250 citations
- Evaluating knowledge fusion models on detecting adverse drug events in text20250 citations
- AI modeling for outbreak prediction: A graph-neural-network approach for identifying vancomycin-resistant enterococcus carriers20250 citations
- A worldwide research overview of Artificial Proprioception in prosthetics20250 citations
- Classifying simulated gait impairments using privacy-preserving explainable artificial intelligence and mobile phone videos20250 citations
- Applied artificial intelligence for global child health: Addressing biases and barriers20240 citations
- Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention …20240 citations
- Cpllm: Clinical prediction with large language models20240 citations
- From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven cardiac auscultation research for low …20240 citations
- Mapping the ethical landscape of digital biomarkers: a scoping review20240 citations
- … between perceptions of electronic health record usability and clinical importance of social and environmental determinants of health on provider documentation20240 citations
- Digital assessment of cognitive-affective biases related to mental health20240 citations
- Evaluating and mitigating unfairness in multimodal remote mental health assessments20240 citations
- Outlier analysis for accelerating clinical discovery: An augmented intelligence framework and a systematic review20240 citations
- … on a journey from frustration to readiness–A qualitative pre-implementation exploration of readiness for technology adoption in Public Health Protection in Ireland20240 citations
- … learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial …20240 citations
- Status and future prospects for mobile phone-enabled diagnostics in Tanzania20240 citations
- Developing a patient flow visualization and prediction model using aggregated data for a healthcare network cluster in Southwest Ethiopia20230 citations
- FindZebra online search delving into rare disease case reports using natural language processing20230 citations
- Analysis of lung cancer risk factors from medical records in Ethiopia using machine learning20230 citations
- Evidence for an adverse impact of remote readouts on radiology resident productivity: implications for training and clinical practice20230 citations
- Telehealth and digital health innovations: A mixed landscape of access20230 citations
- Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients20230 citations
- Wearable sensor-based performance status assessment in cancer: a pilot multicenter study from the Alliance for Clinical Trials in Oncology (A19_Pilot2)20230 citations
- A framework for digital health policy: Insights from virtual primary care systems across five nations20230 citations
- A scoping review of the landscape of health-related open datasets in Latin America20230 citations
- A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: a precision medicine framework20230 citations
- Sharing digital health data responsibly: Balancing open science with participant privacy20230 citations
- Capturing children food exposure using wearable cameras and deep learning20230 citations
- Vision-based detection and quantification of maternal sleeping position in the third trimester of pregnancy in the home setting–building the dataset and model20230 citations
- Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging20230 citations
- Implementing a chest X-ray artificial intelligence tool to enhance tuberculosis screening in India: lessons learned20230 citations
- Is artificial intelligence capable of generating hospital discharge summaries from inpatient records?20220 citations
- Exploring optimal granularity for extractive summarization of unstructured health records: Analysis of the largest multi-institutional archive of health records in Japan20220 citations
- A proposed de-identification framework for a cohort of children presenting at a health facility in Uganda20220 citations
- Longitudinally tracking personal physiomes for precision management of childhood epilepsy20220 citations
- Spatio-temporal based deep learning for rapid detection and identification of bacterial colonies through lens-free microscopy time-lapses20220 citations
- COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African …20220 citations
05Reviewer comments
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How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
08Questions
Frequently asked questions
What is the impact factor of PLOS Digital Health?
Based on OpenAlex citation data (October 2026), the 2-year impact factor of PLOS Digital Health is 6.59: papers it published in the two previous years were cited 6.59 times on average in a year. The journal is not listed in JCR 2024, so it has no official Clarivate Journal Impact Factor.
What is the h-index of PLOS Digital Health?
The h-index of PLOS Digital Health is 53 (OpenAlex, October 2026): 53 of its papers have each been cited at least 53 times. Its i10-index is 324.
What is the APC of PLOS Digital Health?
OpenAlex lists an article processing charge (APC) of about US$3,043 for PLOS Digital Health, an open access journal (data from October 2026). APCs change and can differ by article type, country or discounts, so confirm the current charge on the journal’s website before submitting.
Is PLOS Digital Health a Q1 journal?
By 2-year citedness, PLOS Digital Health ranks 11 of 199 journals in Health Care Sciences & Services, which places it in Q1 of that Web of Science category. This ranking is calculated by ScholarsColab from OpenAlex data; the official JCR quartile can differ.
Is PLOS Digital Health indexed in Scopus?
Yes. PLOS Digital Health appears in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is PLOS Digital Health an SCIE journal?
PLOS Digital Health is listed in ESCI of the Web of Science Core Collection, but not in SCIE, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is PLOS Digital Health in Journal Citation Reports (JCR)?
PLOS Digital Health is not listed in the JCR 2024 list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
What topics does PLOS Digital Health publish?
The papers published in PLOS Digital Health that we track most often mention health, digital, learning, model, data, machine. Check the journal’s aims and scope for its full coverage.
How many papers published in PLOS Digital Health does ScholarsColab track?
We track 282 papers published in PLOS Digital Health between 2022 and 2026, cited 0 times in total, with a median of 0 citations per paper.
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