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手术中的人工智能再审视:2025年指南,用于理解和应用临床实践中的AI模型

David Limon¹, Varsha Satish², Niruktha Raghavan¹

¹Department of Surgery, University of Texas Health Science Center, San Antonio, TX, USA.

The American surgeon

|November 27, 2025

概括

人工智能 (AI) 和机器学习 (ML) 正在通过实时支持和自动化彻底改变外科手术. 了解AI的人工智能

科学领域:

手术技术手术技术
医疗人工智能医疗人工智能
机器学习在医学中的应用

背景情况:

人工智能 (AI) 和机器学习 (ML) 正在越来越多地影响外科实践.
目前的应用范围不仅仅是风险预测,还包括实时临床支持和手术内辅助.
成功的整合需要解决诸如过拟合,数据偏差和模型解释性等挑战.

研究的目的:

审查与外科应用相关的核心机器学习 (ML) 原则.
讨论人工智能在外科手术中的基本数据模式和评估指标.
突出新兴的人工智能模型及其在手术室中的作用.

主要方法:

对手术环境中AI和ML的当前文献的综述.
分析方法上的挑战,包括过度匹配,数据偏差和可解释性.
检查人工智能在处理文本,视听数据和机器人自动化中的应用.

主要成果:

人工智能和机器学习在简化文档,增强决策和自动化基本手术任务方面表现出能力.
人工智能技术的进步使得手术洞察力处理各种数据模式成为可能.
新兴的模型展示了人工智能在手术室环境中的不断扩大的实用性.

结论:

了解AI/ML的潜力和局限性对于安全有效的外科采用至关重要.
随着人工智能系统从实验到实际使用的过渡,道德考虑至关重要.
持续的研究和教育对于临床医生在手术中负责任地利用人工智能至关重要.

关键词:

算法算法是一种算法.人工智能的人工智能是人工智能.机器学习是机器学习.预测建模预测建模外科创新的创新.

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