JMIR Medical Informatics

Papers
(The H4-Index of JMIR Medical Informatics is 36. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study184
Deep Learning for Dynamic Prognostic Prediction in Minimally Invasive Surgery for Intracerebral Hemorrhage: Model Development and Validation Study134
Exploring Self-Management–Based Mobile Health User Typologies and Associations Between User Types and Satisfaction With Key Mobile Health Functions: Comparative Study of Various Fitness and Weight Man134
Knowledge-Guided Explainable Recommendation Tool for Cancer Risk Prediction Models Using Retrieval-Augmented Large Language Models: Development and Validation Study129
AI-Enabled Customer Relationship Management Platforms for Patient Services in Health Care, Early Lessons From Governance, and Program-Level Outcomes121
Automated Speech Analysis for Screening and Monitoring Bipolar Depression: Machine Learning Model Development and Interpretation Study112
Large Language Models for Psychiatric Diagnosis Based on Multicenter Real-World Clinical Records: Comparative Study108
Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review104
Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese77
Ensemble Machine Learning Models for Predicting Patients With High Usage: Model Validation and Economic Impact Analysis71
Bibliometric Insights Into the Infodemic: Global Research Trends and Policy Responses: Quantitative Research70
Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study68
Synthetic Tabular Data Generation Under Horizontal Federated Learning Environments in Acute Myeloid Leukemia: Case-Based Simulation Study67
The Anemia Risk Warning Model Based on a Noninvasive Method: Key Insights and Clarifications63
Automatic Recognition and Prognostic Prediction of Colorectal Liver Metastases Using a Multi-Scale Deep Learning Framework: Model Development and Validation Study58
One Digital Health Intervention for Monitoring Human and Animal Welfare in Smart Cities: Viewpoint and Use Case56
Scalable Identification of Clinically Relevant Chronic Obstructive Pulmonary Disease Documents in Large-Scale Electronic Health Record Datasets With a Lightweight Natural Language Processing Model: Re52
An Ontology-Based Approach to Improving Medication Appropriateness in Older Patients: Algorithm Development and Validation Study51
How People With a Bipolar Disorder Diagnosis Talk About Personal Recovery in Peer Online Support Forums: Corpus Framework Analysis Using the POETIC Framework51
The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study47
Prediction of Early Hospital Admission (≤24 Hours) After Stroke Using Machine Learning and Deep Learning: Multicenter Study From China47
Building a national interoperable rare eye disease data warehouse: methodological framework and implementation report from the FREDD initiative (Preprint)46
Exploring the Role of Large Language Models in Primary Care: Qualitative Study of Physicians in the United States and the Netherlands46
Personalized Prediction of Long-Term Renal Function Prognosis Following Nephrectomy Using Interpretable Machine Learning Algorithms: Case-Control Study46
Advancing Alzheimer Disease Prediction With Large Language Model–Based Linguistic Feature Analysis: Development and Validation Study45
Clinical Note Generation From Doctor-Patient Conversations Using Parameter-Efficient Fine-Tuning Large Language Models: Comparative Study44
Logic Models on Health Information Technology–Related Interventions: Scoping Review Across Disciplines44
Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach44
Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study42
Creation and Implementation of an Electronic Sexual Assault Record at the Geneva University Hospital42
Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study40
Predicting Metabolic Dysfunction–Associated Fatty Liver Disease Phenotypes Among Adults: 2-Stage Contrastive Learning Method40
How to Elucidate Consent-Free Research Use of Medical Data: A Case for “Health Data Literacy”38
Using Electronic Health Records for the Learning Health System: Creation of a Diabetes Research Registry38
Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Acute Ischemic Stroke 37
Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals37
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