人与人工智能的交互在精密瘤学的动态决策中的复杂性
Dipesh Niraula1, Kyle C Cuneo2, Ivo D Dinov3
1Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA. dipesh.niraula@moffitt.org.
Nature communications
|January 29, 2025
概括
临床医生 临床医生
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 人工智能决策支持系统通过调整治疗方法以适应患者进展,提供个性化癌症护理.
- 过度依赖或不充分依赖不完美的AI可能会导致低于最佳的癌症治疗方法.
研究的目的:
- 研究人工智能辅助适应性放射治疗非小细胞肺癌和肝细胞癌的人类-人工智能相互作用动态.
- 探索临床医生如何在治疗规划中与人工智能合作.
主要方法:
- 进行了一项人类-人工智能相互作用研究.
- 研究了两个级别的协作行为:模型不可知和模型特定.
- 该研究的重点是针对特定癌症类型的响应适应性放射治疗.
主要成果:
- 人与人工智能的相互作用是多因素的,受临床医生的先前知识,患者状态,疾病部位和人工智能特征的影响.
- 临床医生对人工智能建议的信任和依赖程度因感知到的益处,危害或模型透明度而有所不同.
- 临床医生可能会忽视,批判性地分析或根据AI建议调整决策.
结论:
- 在适应性癌症治疗中,有效的人类-人工智能合作需要仔细考虑多种影响因素.
- 了解临床医生与人工智能的相互作用对于优化人工智能在个性化癌症护理中的作用至关重要.
- 临床医生的批判性判断对于利用人工智能进行治疗决策至关重要.
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