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Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study.
J Med Internet Res
January 2025
Department of Industrial and Systems Engineering, The University of Florida, GAINESVILLE, FL, United States.
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored.
View Article and Find Full Text PDFMentorship in Plastic Surgery: A Systematic Review of the Current Literature and Elucidation of Recurring Themes.
Plast Reconstr Surg Glob Open
January 2025
Department of Orthopedics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Background: Mentorship is an integral part of developing competent, passionate, and successful plastic surgeons and is an important element of surgeons' wellness. Although mentorship programs have been described in the literature, this study aimed to elucidate the specific qualities of an effective mentor in plastic surgery.
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Evaluation of an oral health education training program for kindergarten teachers.
Front Oral Health
January 2025
Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China.
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Assessing ChatGPT's Capability in Addressing Thyroid Cancer Patient Queries: A Comprehensive Mixed-Methods Evaluation.
J Endocr Soc
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Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA.
Context: Literature suggests patients with thyroid cancer have unmet informational needs in many aspects of care. Patients often turn to online resources for their health-related information, and generative artificial intelligence programs such as ChatGPT are an emerging and attractive resource for patients.
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[The year 2024 placed in perspective by hospital internists].
Rev Med Suisse
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Service de médecine interne, Centre hospitalier universitaire vaudois, 1011 Lausanne.
This article presents a selection of ten key topics, carefully analyzed and commented on by chief residents at the Department of Internal Medicine at CHUV. This curated selection highlights the major advances and essential reminders in internal medicine for 2024. By reviewing this year's leading publications, it sheds light on progress in diagnostic and therapeutic approaches, both for hospitalized patients and the continuity of care in outpatient settings.
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