CSCO AI与乳腺癌多学科临床决策团队的一致性:一项回顾性研究
Weimin Xu1, Xinyu Wang2, Lei Yang2
1Department of Thyroid and Breast Surgery, The Affiliated Second Hospital of Anhui Medical University, Hefei, People's Republic of China.
Breast cancer (Dove Medical Press)
|August 5, 2024
概括
中国临床瘤学会的人工智能系统 (CSCO AI) 显示与实际乳腺癌治疗方法的高度一致. 这种人工智能工具在乳腺癌护理的临床决策中具有实用性.
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:
- 中国临床瘤学会人工智能系统 (CSCO AI) 是一种使用中国乳腺癌数据开发的临床决策支持工具.
- 评估CSCO AI建议与现实世界临床实践之间的一致性对于其采用至关重要.
研究的目的:
- 评估CSCOAI系统的乳腺癌治疗建议与实际进行的临床治疗之间的一致性.
- 确定影响人工智能驱动治疗建议在乳腺癌护理中的一致性因素.
主要方法:
- 在2017年至2022年期间接受治疗的537名乳腺癌患者的回顾性分析.
- 由高级瘤学研究人员手动输入患者数据到CSCOAI系统.
- 将CSCO AI建议与医院治疗方案和多学科治疗 (MDT) 团队评估进行比较.
主要成果:
- 在CSCOAI建议和实际治疗之间观察到总体一致率为80.4%.
- 在第一阶段和第三阶段的乳腺癌患者以及侵入性导管和叶片癌患者中,观察到更高的一致率.
- 三阴性乳腺癌 (TNBC) 的一致率很高 (87.50%);MDT与CSCO AI的一致性达到了92.4%.
结论:
- 在乳腺癌护理中,CSCO AI建议和多学科治疗 (MDT) 决策之间存在着主要的对齐.
- 在CSCOAI系统显示显著的潜力作为一个有价值的工具,以帮助临床决策为乳腺癌治疗.
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