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外科医生可以信任AI吗? 在外科手术中机器学习的观点以及可解释的人工智能 (XAI) 的重要性

Johanna M Brandenburg^1,2, Beat P Müller-Stich^2,3, Martin Wagner^4,5,6

¹Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.

Langenbeck's archives of surgery

|January 28, 2025

概括

可解释的人工智能 (XAI) 方法对外科手术至关重要. 透明度和可解释性确保人工智能模型安全地集成到临床实践中,增强手术决策.

科学领域:

手术技术手术技术
人工智能的人工智能
医疗信息学医疗信息学

背景情况:

人工智能 (AI) 在外科手术中的整合正在迅速推进.
确保AI在临床环境中的可靠性和可信度至关重要.

研究的目的:

总结和讨论可解释的人工智能 (XAI) 方法.
探索XAI在外科实践中的潜在应用.

主要方法:

全球和个体解释性特征方法的概述.
讨论成像数据和时间序列分析的技术.
探索相似性分类和规则/法律发现的探索.

主要成果:

突出了外科领域对AI日益增长的兴趣.
强调AI模型输出的透明度和可解释性至关重要.

结论:

透明度和可解释性是成功将AI整合到临床实践中的基础.
XAI对于建立信任和促进在外科手术中采用AI工具至关重要.

关键词:

人工智能的人工智能是人工智能.可解释的人工智能机器学习机器学习微创手术是最少的侵入性手术.

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