دورية أكاديمية
Large Language Models in Medicine: The Potentials and Pitfalls : A Narrative Review.
| العنوان: | Large Language Models in Medicine: The Potentials and Pitfalls : A Narrative Review. |
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| المؤلفون: | Omiye JA; Department of Dermatology and Department of Biomedical Data Science, Stanford University, Stanford, California (J.A.O., R.D.)., Gui H; Department of Dermatology, Stanford University, Stanford, California (H.G., S.J.R.)., Rezaei SJ; Department of Dermatology, Stanford University, Stanford, California (H.G., S.J.R.)., Zou J; Department of Biomedical Data Science, Stanford University, Stanford, California (J.Z.)., Daneshjou R; Department of Dermatology and Department of Biomedical Data Science, Stanford University, Stanford, California (J.A.O., R.D.). |
| المصدر: | Annals of internal medicine [Ann Intern Med] 2024 Feb; Vol. 177 (2), pp. 210-220. Date of Electronic Publication: 2024 Jan 30. |
| نوع المنشور: | Journal Article; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: American College of Physicians--American Society of Internal Medicine Country of Publication: United States NLM ID: 0372351 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1539-3704 (Electronic) Linking ISSN: 00034819 NLM ISO Abbreviation: Ann Intern Med Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: <2001->: Philadelphia, PA : American College of Physicians--American Society of Internal Medicine Original Publication: Philadelphia [etc.] American College of Physicians. |
| مواضيع طبية MeSH: | Artificial Intelligence* , Medicine*, Humans ; Health Personnel ; Language |
| مستخلص: | Large language models (LLMs) are artificial intelligence models trained on vast text data to generate humanlike outputs. They have been applied to various tasks in health care, ranging from answering medical examination questions to generating clinical reports. With increasing institutional partnerships between companies producing LLMs and health systems, the real-world clinical application of these models is nearing realization. As these models gain traction, health care practitioners must understand what LLMs are, their development, their current and potential applications, and the associated pitfalls in a medical setting. This review, coupled with a tutorial, provides a comprehensive yet accessible overview of these areas with the aim of familiarizing health care professionals with the rapidly changing landscape of LLMs in medicine. Furthermore, the authors highlight active research areas in the field that promise to improve LLMs' usability in health care contexts. Competing Interests: Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M23-2772. |
| تواريخ الأحداث: | Date Created: 20240129 Date Completed: 20240221 Latest Revision: 20240221 |
| رمز التحديث: | 20240222 |
| DOI: | 10.7326/M23-2772 |
| PMID: | 38285984 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 1539-3704 |
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| DOI: | 10.7326/M23-2772 |