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Predicting and Ranking Diabetic Ketoacidosis Risk among Youth with Type 1 Diabetes with a Clinic-to-Clinic Transferrable Machine Learning Model.
Diabetes Technol Ther
January 2025
Children's Mercy Kansas City, Endocrinology, Kansas City, Missouri, USA.
To use electronic health record (EHR) data to develop a scalable and transferrable model to predict 6-month risk for diabetic ketoacidosis (DKA)-related hospitalization or emergency care in youth with type 1 diabetes (T1D). To achieve a sharable predictive model, we engineered features using EHR data mapped to the T1D Exchange Quality Improvement Collaborative's (T1DX-QI) data schema used by 60+ U.S.
View Article and Find Full Text PDFShould Artificial Intelligence Provide Input in End-of-Life Decision-Making?
JAMA Intern Med
January 2025
Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Should Artificial Intelligence Provide Input in End-of-Life Decision-Making?
JAMA Intern Med
January 2025
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Should Artificial Intelligence Provide Input in End-of-Life Decision-Making?-Reply.
JAMA Intern Med
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Pulmonary, Critical Care, Allergy, and Sleep Medicine, the University of California, San Francisco.
Artificial Intelligence in Physical Therapy: Evaluating ChatGPT's Role in Clinical Decision Support for Musculoskeletal Care.
Ann Biomed Eng
January 2025
Department of Rehabilitation Medicine, Beijing Jishuitan Hospital, Beijing, People's Republic of China.
Background: The integration of artificial intelligence into medicine has attracted increasing attention in recent years. ChatGPT has emerged as a promising tool for delivering evidence-based recommendations in various clinical domains. However, the application of ChatGPT to physical therapy for musculoskeletal conditions has yet to be investigated.
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