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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...
Leveraging AI and Transfer Learning to Enhance Outcome Prediction for Out-of-Hospital Cardiac Arrest in Diverse Settings: Insights from the Pan-Asian Resuscitation Outcomes Study
Leveraging AI and Transfer Learning to Enhance Outcome Prediction for Out-of-Hospital Cardiac Arrest in Diverse Settings: Insights from the Pan-Asian Resuscitation Outcomes Study
medRxiv - The Preprint Server for Health Sciences
Implementing a context-augmented large language model to guide precision cancer medicine
Implementing a context-augmented large language model to guide precision cancer medicine
medRxiv - The Preprint Server for Health Sciences
Evaluating the impact of small-to-big adjustments to chemotherapy protocols
Evaluating the impact of small-to-big adjustments to chemotherapy protocols
medRxiv - The Preprint Server for Health Sciences
Longitudinal Masked Representation Learning for Pulmonary Nodule Diagnosis from Language Embedded EHRs
Longitudinal Masked Representation Learning for Pulmonary Nodule Diagnosis from Language Embedded EHRs
medRxiv - The Preprint Server for Health Sciences
Automated scout-image-based estimation of contrast agent dosing: a deep learning approach
Automated scout-image-based estimation of contrast agent dosing: a deep learning approach
medRxiv - The Preprint Server for Health Sciences
Evaluation of Machine Learning Models for Early Prediction of Gestational Diabetes Using Retrospective Electronic Health Records from Current and Previous Pregnancies
Evaluation of Machine Learning Models for Early Prediction of Gestational Diabetes Using Retrospective Electronic Health Records from Current and Previous Pregnancies
medRxiv - The Preprint Server for Health Sciences
Understanding the robustness of vision-language models to medical image artefacts
Understanding the robustness of vision-language models to medical image artefacts
medRxiv - The Preprint Server for Health Sciences
Leveraging Large Language Models for Digital Phenotyping: Detecting Depressive State Changes for Patients with Depressive Episodes
Leveraging Large Language Models for Digital Phenotyping: Detecting Depressive State Changes for Patients with Depressive Episodes
medRxiv - The Preprint Server for Health Sciences
The Wearipedia Project: a free and open-source resource for understanding and using wearables in decentralized clinical trials
The Wearipedia Project: a free and open-source resource for understanding and using wearables in decentralized clinical trials
medRxiv - The Preprint Server for Health Sciences
Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions
Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions
medRxiv - The Preprint Server for Health Sciences
A multi-country study comparing typed to automatic speech recognition-based medical documentation speeds among Low- and Middle-Income Country Trained Clinicians
A multi-country study comparing typed to automatic speech recognition-based medical documentation speeds among Low- and Middle-Income Country Trained Clinicians
medRxiv - The Preprint Server for Health Sciences
AI-Driven Pharmacovigilance and Molecular Profiling of Fluoroquinolone-Associated Cardiotoxicity in the UAE: A Geospatial and Machine Learning Analysis with Structural Modification Strategies (2018-2023)
AI-Driven Pharmacovigilance and Molecular Profiling of Fluoroquinolone-Associated Cardiotoxicity in the UAE: A Geospatial and Machine Learning Analysis with Structural Modification Strategies (2018-2023)
medRxiv - The Preprint Server for Health Sciences
ChatGPT Is Still Not Good Enough at Giving Care-Seeking Advice, or Is It?
ChatGPT Is Still Not Good Enough at Giving Care-Seeking Advice, or Is It?
medRxiv - The Preprint Server for Health Sciences
DeepDrug2: A Germline-focused Graph Neural Network Framework for Alzheimer's Drug Repurposing Validated by Electronic Health Records
DeepDrug2: A Germline-focused Graph Neural Network Framework for Alzheimer's Drug Repurposing Validated by Electronic Health Records
medRxiv - The Preprint Server for Health Sciences
Deep Learning on Histopathological Images to Predict Breast Cancer Recurrence Risk and Chemotherapy Benefit
Deep Learning on Histopathological Images to Predict Breast Cancer Recurrence Risk and Chemotherapy Benefit
medRxiv - The Preprint Server for Health Sciences
Early Prediction of Anti-PD-1 Therapy Response in Hepatocellular Carcinoma Using Gut Microbiota Biomarkers
Early Prediction of Anti-PD-1 Therapy Response in Hepatocellular Carcinoma Using Gut Microbiota Biomarkers
medRxiv - The Preprint Server for Health Sciences
Large-scale Local Deployment of DeepSeek-R1 in Pilot Hospitals in China: A Nationwide Cross-sectional Survey
Large-scale Local Deployment of DeepSeek-R1 in Pilot Hospitals in China: A Nationwide Cross-sectional Survey
medRxiv - The Preprint Server for Health Sciences
Stage-wise algorithmic bias, its reporting, and relation to classical systematic review biases in AI-based automated screening in health sciences: A structured literature review
Stage-wise algorithmic bias, its reporting, and relation to classical systematic review biases in AI-based automated screening in health sciences: A structured literature review
medRxiv - The Preprint Server for Health Sciences
Detecting Medication Mentions in Social Media Data Using Large Language Models
Detecting Medication Mentions in Social Media Data Using Large Language Models
medRxiv - The Preprint Server for Health Sciences
Causal Analysis of Social Support on Functional Outcomes in Stroke Rehabilitation: A Study Using Synthetic Data and Advanced Inference Methods
Causal Analysis of Social Support on Functional Outcomes in Stroke Rehabilitation: A Study Using Synthetic Data and Advanced Inference Methods
medRxiv - The Preprint Server for Health Sciences
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