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The Ethics of AI Scribes as Epistemic Agents
The Ethics of AI Scribes as Epistemic Agents
Artificial intelligence (AI) scribes using ambient documentation technology that capture clinician-patient dialogue and au...
General Practitioners and Pharmacists’ Perspectives on Electronic Prescribing for Multidose Drug Dispensing: Mixed Methods Study
General Practitioners and Pharmacists’ Perspectives on Electronic Prescribing for Multidose Drug Dispensing: Mixed Methods Study
Background: Medication safety remains a significant challenge in health care, particularly for patients managing complex t...
AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables
AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables
Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, with fre...
Digital Health Communication for Deaf Individuals: Scoping Review of Technologies, Strategies, and Outcomes
Digital Health Communication for Deaf Individuals: Scoping Review of Technologies, Strategies, and Outcomes
Background: Hearing loss affects approximately 432 million adults globally, with Deaf individuals representing a distinct ...
Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
Background: The expansion of telehealth services, particularly during the COVID-19 pandemic, has transformed health care d...
Cough Audio Recognition for Early Detection of Respiratory Diseases: Algorithm Development and Validation Study
Cough Audio Recognition for Early Detection of Respiratory Diseases: Algorithm Development and Validation Study
Background: Coughing is a common clinical symptom and a protective respiratory reflex closely associated with various resp...
Clinical Context Variables Collectively Rival Model Choice in Embedding-Based Retrieval: Multi-Corpus Benchmark Study
Clinical Context Variables Collectively Rival Model Choice in Embedding-Based Retrieval: Multi-Corpus Benchmark Study
Background: Retrieval-augmented generation (RAG) systems increasingly support clinical decision-making by grounding large ...
Machine Learning–Based Multidimensional Oximetry for Obstructive Sleep Apnea Screening: Development and External Validation
Machine Learning–Based Multidimensional Oximetry for Obstructive Sleep Apnea Screening: Development and External Validation
Background: Obstructive sleep apnea (OSA) affects nearly one billion people globally and poses a substantial public health...
Assessing Internet Quality Across Public Health Centers in Indonesia: Cross-Sectional Evaluation Study
Assessing Internet Quality Across Public Health Centers in Indonesia: Cross-Sectional Evaluation Study
Background: Primary health care centers (Puskesmas) serve as the cornerstone of Indonesia’s healthcare system, providing i...
Real-Time Estimation of Arterial Partial Pressure of Carbon Dioxide in Patients Undergoing General Anesthesia: Predictive Modeling Study
Real-Time Estimation of Arterial Partial Pressure of Carbon Dioxide in Patients Undergoing General Anesthesia: Predictive Modeling Study
Background: Adequate ventilation in mechanically ventilated patients during general anesthesia is contingent upon the moni...
Interpretable Machine Learning for Predicting Adverse Pregnancy Outcomes in Gestational Diabetes: Retrospective Cohort Study
Interpretable Machine Learning for Predicting Adverse Pregnancy Outcomes in Gestational Diabetes: Retrospective Cohort Study
Background: Gestational diabetes mellitus (GDM) affects over 5% of pregnancies globally, elevating risks of type 2 diabete...
Evidence for the Use of Patient-Reported Outcome Measures in the Treatment of Patients With Noncommunicable Diseases: Systematic Review
Evidence for the Use of Patient-Reported Outcome Measures in the Treatment of Patients With Noncommunicable Diseases: Systematic Review
Background: The use of patient-reported outcome measures (PROMs) as a clinical tool for screening and decision-making has ...
Holistic Influence of Multimodal Medical Crowdfunding Affordances on Charitable Crowdfunding Outcome: Systematic Multimodel Analysis Study
Holistic Influence of Multimodal Medical Crowdfunding Affordances on Charitable Crowdfunding Outcome: Systematic Multimodel Analysis Study
Background: Medical crowdfunding has emerged as a critical tool to alleviate the financial burden of health care costs, pa...
Using Wearable Device and Machine Learning to Predict Mood Symptoms in Bipolar Disorder: Development and Usability Study
Using Wearable Device and Machine Learning to Predict Mood Symptoms in Bipolar Disorder: Development and Usability Study
Background: Bipolar disorder (BD) is a highly recurrent disorder. Early detection, early intervention, and prevention of r...
An Artificial Intelligence–Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study
An Artificial Intelligence–Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study
Background: Emergency department (ED) overcrowding remains a critical challenge, leading to delays in patient care and inc...
Fusion of X-Ray Images and Clinical Data for a Multimodal Deep Learning Prediction Model of Osteoporosis: Algorithm Development and Validation Study
Fusion of X-Ray Images and Clinical Data for a Multimodal Deep Learning Prediction Model of Osteoporosis: Algorithm Development and Validation Study
Background: Osteoporosis is a bone disease characterized by reduced bone mineral density and mass, which increases the ris...
Development of a New Electronic Death Certificate and Death Management Module Integrated Into the Health Information System of a Tertiary Hospital in Mali: Implementation Report
Development of a New Electronic Death Certificate and Death Management Module Integrated Into the Health Information System of a Tertiary Hospital in Mali: Implementation Report
Background: Death certification provides reliable epidemiological data, essential for public health decision-making. Imple...
Home Monitoring Delivered Through the Emergency Department for Outpatients With COVID-19: COVID19@Home Aachen Pilot Cohort Study
Home Monitoring Delivered Through the Emergency Department for Outpatients With COVID-19: COVID19@Home Aachen Pilot Cohort Study
Background: The overwhelming COVID-19 situation in 2020/2021 required novel approaches that did not require additional per...
Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study
Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study
Background: Prediction models have demonstrated a range of applications across medicine, including using electronic health...
Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study
Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study
Background: Cohort studies contain rich clinical data across large and diverse patient populations that are a common sourc...
The Impact of Data Control and Delayed Discounting on the Public’s Willingness to Share Different Types of Health Care Data: Empirical Study
The Impact of Data Control and Delayed Discounting on the Public’s Willingness to Share Different Types of Health Care Data: Empirical Study
Background: Health data typically include patient-generated data (PGD) and clinical medical data. Different types of data ...
The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets
The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets
Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as...
Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study
Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study
Background: Many tools have been developed to predict the risk of diabetes for non-diabetic population; however, these too...
Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint
Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint
Precision medicine involves a paradigm shift toward personalized data-driven clinical decisions. The concept of a medical ...
Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review
Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review
Background: This review explores the potential of virtual reality (VR) and artificial intelligence (AI) to identify precli...
Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design
Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design
Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognitio...
Machine Learning–Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study
Machine Learning–Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study
Background: Chronic heart failure (CHF) is a serious threat to human health, with high morbidity and mortality rates, impo...
Smart Contracts and Shared Platforms in Sustainable Health Care: Systematic Review
Smart Contracts and Shared Platforms in Sustainable Health Care: Systematic Review
Background: The benefits of smart contracts (SCs) for sustainable health care are a relatively recent topic that has gathe...
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...
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