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人工智能在手术决策中的准确性和可靠性:一篇文献综述

Nicolás Idárraga Ruiz¹, Israel Cardona Salazar², Lincoln Xavier Naranjo Palacio³

¹Surgery, University of Manizales, Manizales, COL.

|November 25, 2025

概括

人工智能 (AI) 在手术内决策方面表现出高准确度,协助外科医生进行重大手术. 需要进一步验证,以证明长期益处,并解决广泛整合人工智能的伦理考虑.

科学领域:

手术技术手术技术的使用.
医学中的人工智能
医疗信息学医学信息学

背景情况:

在了解AI的性能和整合到外科手术中存在差距.
人工智能,包括机器学习 (ML) 和深度学习 (DL),越来越多地应用于大手术.
评估AI的准确性,可靠性和伦理影响对于外科手术的进步至关重要.

研究的目的:

审查人工智能性能及其在外科手术中的整合.
评估人工智能的准确性,可靠性和实时指导技术的基准.
识别数据/伦理问题并比较跨外科专业的AI模型性能.

主要方法:

对28项研究进行了叙事文献审查.
综合了有关AI (ML/DL) 在重大手术中的应用的证据.
研究跨越了不同的地理和学科背景.

主要成果:

人工智能模型显示了实质性的手术内 (IOP) 决策性能 (AUC 0.85-0.95).
在22项手术研究中,人工智能实现了高预测准确度 (80-99%).
在解剖/手术阶段检测和并发症预测方面表现出色.

结论:

人工智能显示出IOP决策的实际可行性和前景,提高了外科手术的准确性和安全性.
临床AI整合需要长期验证和解决方法学/道德限制.
人工智能在手术培训和工作流程优化中可以改善结果,但可扩展性和长期影响需要证明.

关键词:

在手术中使用人工智能.在决策过程中做出决定.在手术内进行的手术.可靠性的可靠性手术手术手术手术手术手术手术

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