在现实癌症护理中比较人工智能和多学科瘤委员会决策:一项前性盲目一致性研究
R Pinninti1, R Gullapalli1, K M Mallavarapu1
1Department of Medical Oncology, Basavatarakam Indo-American Cancer Hospital & Research Institute, Hyderabad, India.
概括
人工智能 (AI) 与多学科瘤委员会 (MDT) 在瘤护理中的决定显示了中高一致性. 这支持AI.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 多学科瘤委员会 (MDTs) 对于综合癌症护理至关重要,提高了诊断和治疗规划.
- 在MDT中对人工智能 (AI) 的前性现实世界的评估是有限的.
研究的目的:
- 评估人工智能产生的决策与专家MDT决策在现实世界瘤环境中的一致性.
- 评估AI在癌症护理中的决策支持的临床可接受性.
主要方法:
- 一项前性,盲目一致性研究,涉及106例在机构MDTs讨论的癌症病例.
- 匿名的案例简介由ChatGPT®处理,人工智能决定与盲目专家审查员记录的MDT结果相比较.
主要成果:
- 主要临床查询的平均一致性得分 (MCS) 为1.42 (约. 这是最大的71%).
- 在治疗意图 (84.6%),放射治疗 (73.4%) 和手术决定 (71.8%) 中观察到高一致性.
- 在78.3%的案例中,AI决策被认为是临床上可接受的,用于现实世界的应用.
结论:
- 在各种瘤学领域,AI与MDT决策具有中等至高的一致性.
- 研究结果表明,人工智能作为在多学科癌症治疗中宝贵的决策支持工具的潜力.
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