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JMIR AI|June 14, 2024
Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette StudyMohammad Hammoud, Shahd Douglas, Mohamad Darmach, et al.
JMIR AI|June 14, 2024
Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and ValidationBohan Shi, Satvinder Singh Dhaliwal, Marcus Soo, et al.
JMIR AI|June 14, 2024
Physicians' and Machine Learning Researchers' Perspectives on Ethical Issues in the Early Development of Clinical Machine Learning Tools: Qualitative Interview StudyJane Paik Kim, Katie Ryan, Max Kasun, et al.
JMIR AI|June 14, 2024
Predictive Performance of Machine Learning-Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational StudyFumi Irie, Koutarou Matsumoto, Ryu Matsuo, et al.
JMIR AI|June 14, 2024
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning StudyJoe Li, Peter Washington
JMIR AI|June 14, 2024
An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods StudyWinston R Liaw, Yessenia Ramos Silva, Erica G Soltero, et al.
JMIR AI|June 14, 2024
Extraction of Radiological Characteristics From Free-Text Imaging Reports Using Natural Language Processing Among Patients With Ischemic and Hemorrhagic Stroke: Algorithm Development and ValidationEnshuo Hsu, Abdulaziz T Bako, Thomas Potter, et al.
JMIR AI|June 14, 2024
Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and ValidationJulian Späth, Zeno Sewald, Niklas Probul, et al.
JMIR AI|June 14, 2024
Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of ImplicationsLukas Weidener, Michael Fischer
JMIR AI|June 14, 2024
Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled StudyJoshua A Young, Chin-Wen Chang, Charles W Scales, et al.
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