加强手部骨折护理：人工智能应用与 ChatGPT 的前瞻性研究

Q3 Medicine

Journal of Hand Surgery Global Online Pub Date : 2024-07-01 DOI:10.1016/j.jhsg.2024.03.014

Connor John Atkinson MD , Ishith Seth MD , Marc Adam Seifman MD , Warren Matthew Rozen MD , Roberto Cuomo MD

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引用次数: 0

摘要

目的人工智能和机器学习技术融入医疗领域带来了显著的进步，尤其是在临床决策支持系统领域。本前瞻性队列研究评估了将 ChatGPT-4 plus 纳入第五掌骨下骨折治疗的潜力。将 ChatGPT-4 plus 提供的治疗建议与两个对照组（整形外科主治医生和独立专家小组）的治疗建议进行了比较。两组的主要结果指标（手术或保守治疗）进行了比较。结果无论决策者是谁，选择手术治疗的主要预测因素包括剪切的临床表现、伸展障碍和关节内伸展的影像学证据。结论这些发现支持了人工智能应用在提高诊断和治疗决策方面的潜力。

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Enhancing Hand Fracture Care: A Prospective Study of Artificial Intelligence Application With ChatGPT

Purpose

The integration of artificial intelligence and machine learning technologies into the medical field has brought about remarkable advancements, particularly in the domain of clinical decision support systems. However, it is uncertain how they will perform as clinical decision-makers.

Methods

This prospective cohort study evaluates the potential of incorporating ChatGPT-4 plus into the management of subcapital fifth metacarpal fractures. The treatment recommendations provided by ChatGPT-4 plus were compared with those of the two control groups—the attending clinic plastic surgeon and an independent expert panel. The primary outcome measures, operative or conservative, were compared between the groups. Intraclass correlation of 0.61 infers moderate reliability in the consistency of recommended management plans across all groups.

Results

Key predictors for opting for operative management, regardless of the decision-maker, included clinical signs of scissoring, extension deficit, and radiographic evidence of intra-articular extension.