挑战性瘤病例的评估:聊天GPT,双子座和多学科瘤委员会之间的比较分析
Luis A Hernández-Flores1, José B López-Martínez1, Jesús J Rosales-de-la-Rosa1
1Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Journal of surgical oncology
|February 12, 2025
概括
像ChatGPT和Gemini这样的公开人工智能工具在瘤学决策中与多学科瘤委员会达成有限的协议. 聊天GPT表现出卓越的性能,特别是在放射治疗和手术建议方面,这表明未来临床整合的潜力.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 医疗决策 - - 医疗决策
背景情况:
- 自2022年以来,包括ChatGPT和Gemini在内的公开访问对话AI在医疗决策中越来越多地使用.
- 与传统的专家小组相比,这些人工智能工具在复杂的瘤病例中的有效性在很大程度上尚未评估.
研究的目的:
- 评估公开的AI (ChatGPT和Gemini) 在评估复杂的瘤病例中的有效性.
- 将人工智能驱动的建议与多学科瘤委员会 (MTB) 所做出的决定进行比较.
主要方法:
- 在两年内对98个瘤病例进行了回顾性分析.
- 各种瘤专家组成的MTB为每个病例确定了管理策略.
- 人工智能工具评估了四个关键决策点 (成像,放射治疗,化疗,手术),并使用科恩的卡帕测试与MTB共识进行了比较.
主要成果:
- 人工智能和MTB之间的协议在决策点上通常低至中度.
- 聊天GPT显示了对手术 (κ=0.467) 和放射治疗 (κ=0.525) 的中度同意,以及对化疗的轻微同意 (κ=0.336).
- 双子座对手术 (κ=0.194) 和放射治疗 (κ=0.214) 显示出轻微的同意,对成像和化疗的同意可以忽略不计.
结论:
- 聊天GPT对手术和放射治疗的MTB决定表现出中度的同意,表现优于双子座.
- 需要进一步的研究来评估AI在其他瘤干预中的实用性.
- 公共访问的人工智能在瘤学中显示出潜力,这保证了对临床实践改进的持续探索.
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