Journal of the American Medical Informatics Association : JAMIA
Apr 3, 2024
OBJECTIVE: Artificial intelligence (AI) detects heart disease from images of electrocardiograms (ECGs). However, traditional supervised learning is limited by the need for large amounts of labeled data. We report the development of Biometric Contrast...
Journal of the American Medical Informatics Association : JAMIA
Apr 3, 2024
OBJECTIVE: Large language models (LLMs) have shown impressive ability in biomedical question-answering, but have not been adequately investigated for more specific biomedical applications. This study investigates ChatGPT family of models (GPT-3.5, GP...
Journal of the American Medical Informatics Association : JAMIA
Feb 16, 2024
OBJECTIVES: Electronic health record (EHR) data may facilitate the identification of rare diseases in patients, such as aromatic l-amino acid decarboxylase deficiency (AADCd), an autosomal recessive disease caused by pathogenic variants in the dopa d...
Journal of the American Medical Informatics Association : JAMIA
Feb 16, 2024
OBJECTIVE: To provide a scoping review of studies on empathy recognition in text using natural language processing (NLP) that can inform an approach to identifying physician empathic communication over patient portal messages.
Journal of the American Medical Informatics Association : JAMIA
Feb 16, 2024
OBJECTIVES: Conversational agents (CAs) with emerging artificial intelligence present new opportunities to assist in health interventions but are difficult to evaluate, deterring their applications in the real world. We aimed to synthesize existing e...
Journal of the American Medical Informatics Association : JAMIA
Feb 16, 2024
OBJECTIVES: We set out to describe academic machine learning (ML) researchers' ethical considerations regarding the development of ML tools intended for use in clinical care.
Journal of the American Medical Informatics Association : JAMIA
Feb 16, 2024
OBJECTIVE: The complexity and rapid pace of development of algorithmic technologies pose challenges for their regulation and oversight in healthcare settings. We sought to improve our institution's approach to evaluation and governance of algorithmic...
Journal of the American Medical Informatics Association : JAMIA
Jan 18, 2024
OBJECTIVE: Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association-Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can f...
Journal of the American Medical Informatics Association : JAMIA
Jan 18, 2024
OBJECTIVE: To identify factors influencing implementation of machine learning algorithms (MLAs) that predict clinical deterioration in hospitalized adult patients and relate these to a validated implementation framework.
Journal of the American Medical Informatics Association : JAMIA
Jan 18, 2024
OBJECTIVE: Surgical outcome prediction is challenging but necessary for postoperative management. Current machine learning models utilize pre- and post-op data, excluding intraoperative information in surgical notes. Current models also usually predi...
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