在阿尔茨海默病的诊断中ChatGPT的不一致性
ArunSundar MohanaSundaram1, Bhushan Patil2,3, Domenico Praticò4
1School of Pharmacy, Sathyabama Institute of Science and Technology, Chennai, India.
Journal of Alzheimer's disease reports
|June 24, 2024
概括
这项研究重新评估了ChatGPT在诊断阿尔茨海默病 (AD) 和轻度认知障碍 (MCI) 的准确性. 结果显示,ChatGPT的诊断反应存在变化,质疑其目前临床使用的可靠性.
科学领域:
- 人工智能在医学中的应用
- 神经学 神经学
- 临床诊断 临床诊断 临床诊断
背景情况:
- 以前的研究表明,ChatGPT是诊断阿尔茨海默病 (AD) 和轻度认知障碍 (MCI) 的潜在工具.
- 人工智能诊断工具的准确性和可重复性需要持续验证.
研究的目的:
- 重新评估ChatGPT对阿尔茨海默病 (AD) 和轻度认知障碍 (MCI) 的诊断准确性和可重复性.
- 为了比较当前的ChatGPT响应与以前发表的研究结果.
主要方法:
- 使用了El Haj等先前研究中使用的相同提示符.
- 向ChatGPT提供提示,以评估其对AD和MCI阶段的诊断能力.
- 分析并比较生成的响应以确保一致性和准确性.
主要成果:
- 与以前的结果相比,观察到ChatGPT对AD和MCI的诊断输出存在显著差异.
- 在AI的响应中发现了可变性,表明其诊断性能中的潜在不一致性.
- 发现ChatGPT的诊断建议的可复制性是可疑的.
结论:
- 目前的发现挑战了ChatGPT在诊断阿尔茨海默病 (AD) 和轻度认知障碍 (MCI) 的持续可靠性.
- 需要进一步调查,以了解影响ChatGPT可变性能的因素.
- 为未来的研究提出了建议,以加强AI在临床诊断中的验证.
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