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Tongue Image–Based Diagnosis of Acute Respiratory Tract Infection Using Machine Learning: Algorithm Development and Validation
Tongue Image–Based Diagnosis of Acute Respiratory Tract Infection Using Machine Learning: Algorithm Development and Validation
Background: Human adenoviruses (HAdVs) and COVID-19 are prominent respiratory pathogens with overlapping clinical presenta...
Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study
Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study
Background: As the older population grows, so does the prevalence of cognitive impairment, emphasizing the importance of e...
An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study
An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study
Background: Diagnosis of venous thromboembolism (VTE) is often delayed and facilitating earlier diagnosis may improve asso...
A Machine Learning Model for Predicting Sarcopenia Among Middle-Aged Adults: Development and External Validation
A Machine Learning Model for Predicting Sarcopenia Among Middle-Aged Adults: Development and External Validation
Background: Sarcopenia is a common muscle disorder in older adults, and its early identification and management in middle-...
A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study
A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study
Background: Untreated dental caries is the most common health condition worldwide. Therefore, new strategies need to be de...
Development of a Large-Scale Dataset of Chest Computed Tomography Reports in Japanese and a High-Performance Finding Classification Model: Dataset Development and Validation Study
Development of a Large-Scale Dataset of Chest Computed Tomography Reports in Japanese and a High-Performance Finding Classification Model: Dataset Development and Validation Study
Background: Recent advances in large language models have highlighted the need for high-quality multilingual medical datas...
Patient-Centered Outpatient Process Optimization System Based on Intelligent Guidance in a Large Tertiary Hospital in China: Implementation Report
Patient-Centered Outpatient Process Optimization System Based on Intelligent Guidance in a Large Tertiary Hospital in China: Implementation Report
Background: In large tertiary hospitals across China, outpatient patients often encounter the “three longs and one short” ...
Natural Language Processing and ICD-10 Coding for Detecting Bleeding Events in Discharge Summaries: Comparative Cross-Sectional Study
Natural Language Processing and ICD-10 Coding for Detecting Bleeding Events in Discharge Summaries: Comparative Cross-Sectional Study
Background: Bleeding adverse drug events (ADEs), particularly among older inpatients receiving antithrombotic therapy, rep...
A Machine Learning Approach for Identifying People With Neuroinfectious Diseases in Electronic Health Records: Algorithm Development and Validation
A Machine Learning Approach for Identifying People With Neuroinfectious Diseases in Electronic Health Records: Algorithm Development and Validation
Background: Background: Identifying NID cases using International Classification of Diseases (ICD) billing codes is often ...
Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation
Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation
Background: Osteoporotic vertebral fractures (OVFs) are common in older adults and often lead to disability if not properl...
The Orphanet Nomenclature of rare diseases: a standard terminology for improved patient recognition and data interoperability
The Orphanet Nomenclature of rare diseases: a standard terminology for improved patient recognition and data interoperability
medRxiv - The Preprint Server for Health Sciences
Heterogenous Effect of Automated Alerts on Mortality
Heterogenous Effect of Automated Alerts on Mortality
medRxiv - The Preprint Server for Health Sciences
Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes
Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes
medRxiv - The Preprint Server for Health Sciences
SuReCAN: a suite of user-friendly Galaxy machine learning workflows to predict survival and treatment response of cancer patients
SuReCAN: a suite of user-friendly Galaxy machine learning workflows to predict survival and treatment response of cancer patients
medRxiv - The Preprint Server for Health Sciences
Multi-organ AI Endophenotypes Chart the Heterogeneity of Pan-disease in the Brain, Eye, and Heart
Multi-organ AI Endophenotypes Chart the Heterogeneity of Pan-disease in the Brain, Eye, and Heart
medRxiv - The Preprint Server for Health Sciences
Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data
Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data
medRxiv - The Preprint Server for Health Sciences
PABformer: A Multi-Channel Transformer for Physical Activity Behavior Representation and Health Outcome Assessment Using UK Biobank Accelerometer Data
PABformer: A Multi-Channel Transformer for Physical Activity Behavior Representation and Health Outcome Assessment Using UK Biobank Accelerometer Data
medRxiv - The Preprint Server for Health Sciences
AI vs Human Performance in Conversational Hospital-Based Neurological Diagnosis
AI vs Human Performance in Conversational Hospital-Based Neurological Diagnosis
medRxiv - The Preprint Server for Health Sciences
Integrating Machine Learning Pipelines for Multimodal Biomarker Prediction in Alzheimer and Parkinson Disease: A Component of the Neurodiagnoses Framework
Integrating Machine Learning Pipelines for Multimodal Biomarker Prediction in Alzheimer and Parkinson Disease: A Component of the Neurodiagnoses Framework
medRxiv - The Preprint Server for Health Sciences
A LLM-based Multi-Agent Collaborative Approach for Screening Prioritization towards Automated Systematic Reviews
A LLM-based Multi-Agent Collaborative Approach for Screening Prioritization towards Automated Systematic Reviews
medRxiv - The Preprint Server for Health Sciences
Identification of Blood miRNA Biomarkers in Systemic Tuberculosis through Metadata Analysis
Identification of Blood miRNA Biomarkers in Systemic Tuberculosis through Metadata Analysis
medRxiv - The Preprint Server for Health Sciences
Physician- versus Large Language Model-Generated Summaries in the Emergency Department
Physician- versus Large Language Model-Generated Summaries in the Emergency Department
medRxiv - The Preprint Server for Health Sciences
Speaker Role Identification in Clinical Conversations
Speaker Role Identification in Clinical Conversations
medRxiv - The Preprint Server for Health Sciences
Automated Evaluation of Large Language Model Response Concordance with Human Specialist Responses on Physician-to-Physician eConsult Cases
Automated Evaluation of Large Language Model Response Concordance with Human Specialist Responses on Physician-to-Physician eConsult Cases
medRxiv - The Preprint Server for Health Sciences
The Feasibility of Smartwatch Micro Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the SEACO Child Health Update 2020: a Cross-Sectional Study
The Feasibility of Smartwatch Micro Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the SEACO Child Health Update 2020: a Cross-Sectional Study
medRxiv - The Preprint Server for Health Sciences
Comparative evaluation of imputation and batch-effect correction for proteomics/peptidomics differential-expression analysis
Comparative evaluation of imputation and batch-effect correction for proteomics/peptidomics differential-expression analysis
medRxiv - The Preprint Server for Health Sciences
Daily Stress and Heart Rate Variability Among Mindfulness Meditation Practitioners: An mHealth Observational Study
Daily Stress and Heart Rate Variability Among Mindfulness Meditation Practitioners: An mHealth Observational Study
medRxiv - The Preprint Server for Health Sciences
Evaluation of Gender Bias in the Evaluation of Synthetic Cardiovascular Disease Cases with Open Source LLMs
Evaluation of Gender Bias in the Evaluation of Synthetic Cardiovascular Disease Cases with Open Source LLMs
medRxiv - The Preprint Server for Health Sciences
Physician Evaluations of Large Language Model-Generated Responses to Medical Questions by Region and Years in Practice: A preliminary study
Physician Evaluations of Large Language Model-Generated Responses to Medical Questions by Region and Years in Practice: A preliminary study
medRxiv - The Preprint Server for Health Sciences
Leveraging patients’ longitudinal data to improve the Hospital One-year Mortality Risk
Leveraging patients’ longitudinal data to improve the Hospital One-year Mortality Risk
Predicting medium-term survival after admission is necessary for identifying end-of-life patients who may benefit from goa...
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