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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...
Evaluation of a Telemonitoring System Using Electronic National Early Warning Scores for Patients Receiving Medical Home Care: Pilot Implementation Study
Evaluation of a Telemonitoring System Using Electronic National Early Warning Scores for Patients Receiving Medical Home Care: Pilot Implementation Study
Background: Telehealth programs and wearable sensors that enable patients to monitor their vital signs have expanded due t...
Effectiveness of Outpatient Chronic Pain Management for Middle-Aged Patients by Internet Hospitals: Retrospective Cohort Study
Effectiveness of Outpatient Chronic Pain Management for Middle-Aged Patients by Internet Hospitals: Retrospective Cohort Study
Background: Chronic pain is widespread and carries a heavy disease burden, and there is a lack of effective out-of-hospita...
Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study
Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study
Background: Heart failure patients frequently face the possibility of rehospitalization following an initial hospital stay...
The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis
The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis
Background: In this study, we evaluate the accuracy, efficiency, and cost-effectiveness of large language models in extrac...
Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users
Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users
Background: Mental health chatbots have emerged as a promising tool for providing accessible and convenient support to ind...
Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text
Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text
Background: Machine learning models can reduce the burden on doctors by converting medical records into International Clas...
Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study
Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study
Background: The field of digital health solutions (DHS) has grown tremendously over the past years. DHS include tools for ...
Performance of Artificial Intelligence Chatbots on Ultrasound Examinations: Cross-Sectional Comparative Analysis
Performance of Artificial Intelligence Chatbots on Ultrasound Examinations: Cross-Sectional Comparative Analysis
Background: Artificial intelligence chatbots, including those used in the field of ultrasound, are increasingly used to an...
Effectiveness of the Facility for Elderly Surveillance System (FESSy) in Two Public Health Center Jurisdictions in Japan: Prospective Observational Study
Effectiveness of the Facility for Elderly Surveillance System (FESSy) in Two Public Health Center Jurisdictions in Japan: Prospective Observational Study
Background: Residents of elderly facilities are vulnerable to COVID-19 outbreaks. Nevertheless, timely recognition of outb...
Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study
Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study
Background: Large language models (LLMs) have been proposed as valuable tools in medical education and practice. The Chine...
Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study
Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study
Background: Patients with lung cancer are among the most frequent visitors to emergency departments due to cancer-related ...
Exploring Whether the Electronic Optimization of Routine Health Assessments Can Increase Testing for Sexually Transmitted Infections and Provider Acceptability at an Aboriginal Community Controlled Health Service: Mixed Methods Evaluation
Exploring Whether the Electronic Optimization of Routine Health Assessments Can Increase Testing for Sexually Transmitted Infections and Provider Acceptability at an Aboriginal Community Controlled Health Service: Mixed Methods Evaluation
Background: In the context of a syphilis outbreak in neighboring states, a multifaceted systems change to increase testing...
Detection of Suicidal Ideation in Clinical Interviews for Depression Using Natural Language Processing and Machine Learning: Cross-Sectional Study
Detection of Suicidal Ideation in Clinical Interviews for Depression Using Natural Language Processing and Machine Learning: Cross-Sectional Study
Background: Assessing patients’ suicide risk is challenging, especially among those who deny suicidal ideation. Primary ca...
Applications of the Natural Language Processing Tool ChatGPT in Clinical Practice: Comparative Study and Augmented Systematic Review
Applications of the Natural Language Processing Tool ChatGPT in Clinical Practice: Comparative Study and Augmented Systematic Review
Background: This research integrates a comparative analysis of the performance of human researchers and OpenAI's Chat...
Patient Information Summarization in Clinical Settings: Scoping Review
Patient Information Summarization in Clinical Settings: Scoping Review
Background: Information overflow, a common problem in the present clinical environment, can be mitigated by summarizing cl...
Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study
Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study
Background: The medical teams in intensive care units (ICUs) spend increasing amounts of time at computer systems for data...
The Roles of Electronic Health Records for Clinical Trials in Low- and Middle-Income Countries: Scoping Review
The Roles of Electronic Health Records for Clinical Trials in Low- and Middle-Income Countries: Scoping Review
Background: Clinical trials are a crucial element in advancing medical knowledge and developing new treatments by establis...
Synthetic Tabular Data Based on Generative Adversarial Networks in Health Care: Generation and Validation Using the Divide-and-Conquer Strategy
Synthetic Tabular Data Based on Generative Adversarial Networks in Health Care: Generation and Validation Using the Divide-and-Conquer Strategy
Background: Synthetic data generation (SDG) based on generative adversarial networks (GANs) is used in health care, but re...
A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation
A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation
Background: Best Practice Alerts (BPAs) are alert messages to physicians in the electronic health record that are used to ...
Machine Learning Models for Blood Glucose Level Prediction in Patients With Diabetes Mellitus: Systematic Review and Network Meta-Analysis
Machine Learning Models for Blood Glucose Level Prediction in Patients With Diabetes Mellitus: Systematic Review and Network Meta-Analysis
Background: Machine learning (ML) models provide more choices to patients with diabetes mellitus (DM) to more properly man...
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