人类-人工智能交互在精密瘤学动态决策中的复杂性:响应适应性放射治疗的案例研究
medRxiv : the preprint server for health sciences
|May 15, 2024
概括
这项研究探讨了人工智能临床决策支持系统 (AI-CDSS) 如何影响临床医生的适应性放射治疗治疗决策. 人工智能协助影响了决策,增加了对人工智能建议的同意,并减少了医生间的变化.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 辐射疗法 辐射疗法
背景情况:
- 个性化癌症护理可以通过适应性治疗策略来增强,这些策略可以动态地适应个体的疾病进展.
- 人工智能临床决策支持系统 (AI-CDSS) 集成纵向多omics数据可以帮助临床医生优化治疗选择.
- 人工智能-CDSS的准确性不是绝对的,需要对临床医生和人工智能之间的协作决策过程进行调查,以避免意外后果.
结论:
- 在临床决策中,人与人工智能的相互作用受到临床医生的专业知识,患者因素,疾病特征以及人工智能模型透明度和行为的复杂相互作用的影响.
- 临床医生对人工智能建议的反应各不相同,从完全忽视到基于改善结果的潜在感知而进行批判性分析和采用.
- 人工智能CDSS可以作为适应性放射治疗中的一个有价值的工具,但其整合需要仔细考虑临床医生的信任,模型透明度以及人类-人工智能合作的动态性质.
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