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Machine Learning and Deep Learning Techniques for Prediction and Diagnosis of Leptospirosis: Systematic Literature Review
Machine Learning and Deep Learning Techniques for Prediction and Diagnosis of Leptospirosis: Systematic Literature Review
Background: Leptospirosis, a zoonotic disease caused by Leptospira bacteria, continues to pose significant public health r...
Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study
Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study
Background: The development of sepsis in the intensive care unit (ICU) is rapid, the golden rescue time is short, and the ...
Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model
Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model
Background: Cardiovascular and cerebrovascular diseases significantly contribute to global mortality and disability. The s...
A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study
A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study
Background: Digital health is a critical driver of quality, safety, and efficiency in healthcare. However, poor quality of...
Developing an Intelligent Mobile Clinic—A Medical Vehicle for Improve Access to Healthcare in Remote Areas: Evidence From China
Developing an Intelligent Mobile Clinic—A Medical Vehicle for Improve Access to Healthcare in Remote Areas: Evidence From China
The equal distribution of medical resources across regions remains a global challenge, particularly in remote areas. Lishu...
Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development
Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development
Background: Diabetes affects millions worldwide. Primary care physicians provide a significant portion of care, and they o...
Service Users’ Perspectives on an Integrated Electronic Care Record in Mental Health Care: Qualitative Vignette and Interview Study
Service Users’ Perspectives on an Integrated Electronic Care Record in Mental Health Care: Qualitative Vignette and Interview Study
Background: There have been suggestions that electronic health records (EHRs) should be expanded beyond clinical mental he...
Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study
Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study
Background: The growing availability of electronic health records (EHRs) presents an opportunity to enhance patient care b...
Correction: Toward a Domain-Overarching Metadata Schema for Making Health Research Studies FAIR (Findable, Accessible, Interoperable, and Reusable): Development of the NFDI4Health Metadata Schema
Correction: Toward a Domain-Overarching Metadata Schema for Making Health Research Studies FAIR (Findable, Accessible, Interoperable, and Reusable): Development of the NFDI4Health Metadata Schema
JMIR Med Inform 2025;13:e78151doi:10.2196/78151In “Toward a Domain-Overarching Metadata Schema for Making Health Research ...
Health Care Professionals’ Perspectives on Implementing Patient-Accessible Electronic Health Records in Primary Care: Qualitative Study
Health Care Professionals’ Perspectives on Implementing Patient-Accessible Electronic Health Records in Primary Care: Qualitative Study
Background: Patients are increasingly being offered online record access (ORA) through patient-accessible electronic healt...
Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record Data
Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record Data
Before deploying a clinical prediction model (CPM) in clinical practice, its performance needs to be demonstrated in the p...
The Impact of International Classification of Disease–Triggered Prescription Support on Telemedicine: Observational Analysis of Efficiency and Guideline Adherence
The Impact of International Classification of Disease–Triggered Prescription Support on Telemedicine: Observational Analysis of Efficiency and Guideline Adherence
Background: Integrating decision support systems into telemedicine may optimize consultation efficiency and adherence to c...
Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation
Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation
Background: Assessing disease progression among uncontrolled hypertension (HTN) patients is important for identifying oppo...
A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study
A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study
Background: Proper analysis and interpretation of health care data can significantly improve patient outcomes by enhancing...
Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean and English) Clinical Notes: Algorithm Development and Validation
Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean and English) Clinical Notes: Algorithm Development and Validation
Background: The bidirectional encoder representations from transformers (BERT) model has attracted considerable attention ...
Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping Review
Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping Review
Background: Social Determinants of Health (SDOH) are critical drivers of health disparities and patient outcomes. However,...
Electronic Health Record Data Quality and Performance Assessments: Scoping Review
Electronic Health Record Data Quality and Performance Assessments: Scoping Review
Background: Electronic Health Records (EHRs) have an enormous potential to advance medical research and practice through e...
Clinical Decision Support to Increase Emergency Department Naloxone Coprescribing: Implementation Report
Clinical Decision Support to Increase Emergency Department Naloxone Coprescribing: Implementation Report
Background: Co-prescribing naloxone with opioid analgesics is a Centers for Disease Control and Prevention best practice t...
Enhancing Clinical History Taking Through the Implementation of a Streamlined Electronic Questionnaire System at a Pediatric Headache Clinic: Development and Evaluation Study
Enhancing Clinical History Taking Through the Implementation of a Streamlined Electronic Questionnaire System at a Pediatric Headache Clinic: Development and Evaluation Study
Background: Accurate history-taking is essential for diagnosis, treatment, and patient care, yet miscommunications and tim...
Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods
Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods
Background: Artificial intelligence (AI) is rapidly being adopted to build products and aid in the decision-making process...
Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice
Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice
Integrating machine learning (ML) models into clinical practice presents a challenge of maintaining their efficacy over ti...
Data Set and Benchmark (MedGPTEval) to Evaluate Responses From Large Language Models in Medicine: Evaluation Development and Validation
Data Set and Benchmark (MedGPTEval) to Evaluate Responses From Large Language Models in Medicine: Evaluation Development and Validation
Background: Large language models (LLMs) have achieved great progress in natural language processing tasks and demonstrate...
Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study
Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study
Background: Named entity recognition (NER) is a fundamental task in natural language processing. However, it is typically ...
Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study
Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study
Background: To circumvent regulatory barriers that limit medical data exchange due to personal information security concer...
Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study
Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study
Background: Acute kidney injury (AKI) is a marker of clinical deterioration and renal toxicity. While there are many stu...
Integrating Clinical Data and Medical Imaging in Lung Cancer: Feasibility Study Using the Observational Medical Outcomes Partnership Common Data Model Extension
Integrating Clinical Data and Medical Imaging in Lung Cancer: Feasibility Study Using the Observational Medical Outcomes Partnership Common Data Model Extension
Background: Digital transformation, particularly the integration of medical imaging with clinical data, is vital in person...
Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review
Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review
Background: Some research has already reported the diagnostic value of artificial intelligence (AI) in different endoscopy...
Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study
Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study
Background: Large language models show promise for improving radiology workflows, but their performance on structured radi...
Data Lake, Data Warehouse, Datamart, and Feature Store: Their Contributions to the Complete Data Reuse Pipeline
Data Lake, Data Warehouse, Datamart, and Feature Store: Their Contributions to the Complete Data Reuse Pipeline
The growing adoption and utilization of health information technology has generated a wealth of clinical data in electroni...
The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study
The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study
Background: Indonesia has rapidly embraced digital health, particularly during the COVID-19 pandemic, with over 15 million...
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