医学中的忠实人工智能:用大型语言模型和超越的系统审查
Qianqian Xie1, Edward J Schenck2,3, He S Yang4
1Department of Population Health Science, Weill Cornell Medicine, Cornell University.
medRxiv : the preprint server for health sciences
|July 3, 2023
概括
大型语言模型 (LLM) 在医学上表现有希望,但可以产生不准确的信息. 本综述探讨了医疗保健中人工智能忠实性的原因,指标和解决方案,以确保可靠的医疗应用.
科学领域:
- 医疗人工智能 医疗人工智能
- 医疗保健信息学 医疗保健信息学
- 计算医学是一种计算医学.
背景情况:
- 人工智能 (AI),特别是大型语言模型 (LLM),在医疗保健领域提供了变革性的潜力,从药物发现到患者护理和公共卫生.
- 一个重大挑战是人工智能倾向于产生事实上不正确或不忠实的信息,导致潜在的风险和道德问题.
结论:
- 解决人工智能忠诚度问题对于实现人工智能在医疗保健和医学中的全部潜力至关重要.
- 本综述提供了对当前挑战和未来机遇的见解,以提高人工智能产生的医疗信息的可靠性.
- 它是研究人员和从业人员在医学领域应用AI的指南.
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