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Enhancing emergency department charting: Using Generative Pre-trained Transformer-4 (GPT-4) to identify laceration repairs.

作者信息

Bains Jaskaran Karan, Williams Christopher Y K, Johnson Drake, Schwartz Hope, Sabbineni Naina, Butte Atul J, Kornblith Aaron E

机构信息

Department of Emergency Medicine, University of California, San Francisco, San Francisco, California, USA.

Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, California, USA.

出版信息

Acad Emerg Med. 2025 Jan;32(1):94-97. doi: 10.1111/acem.14995. Epub 2024 Jul 31.

DOI:10.1111/acem.14995
PMID:39082468
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11726143/
Abstract
摘要

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Am J Med Open. 2022 Nov 22;9:100028. doi: 10.1016/j.ajmo.2022.100028. eCollection 2023 Jun.
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Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department.使用大型语言模型评估急诊科成人的临床敏锐度。
JAMA Netw Open. 2024 May 1;7(5):e248895. doi: 10.1001/jamanetworkopen.2024.8895.
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Can Publicly Available Artificial Intelligence Successfully Identify Current Procedural Terminology Codes for Common Procedures in Neurosurgery?公开可用的人工智能能否成功识别神经外科常见手术的当前操作术语代码?
World Neurosurg. 2024 Mar;183:e860-e870. doi: 10.1016/j.wneu.2024.01.043. Epub 2024 Jan 12.
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