概括
人工智能 (AI) 在整形外科广泛用于教育,诊断和管理. 虽然提供了好处,但人工智能采用需要意识到其局限性,并采取多学科的方法进行道德实施.
科学领域:
- 整形外科 整形外科 整形外科
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地被整合到整形手术实践和患者信息搜索中.
- 现有大量的人工智能应用,需要全面了解它们的范围和影响.
研究的目的:
- 在整形外科手术中对当前的人工智能应用进行叙事审查.
- 根据现有的文献,识别和讨论AI在现场的挑战和局限性.
主要方法:
- 在PubMed的搜索中,在2025年9月22日之前,发现了1866篇关于人工智能在整形外科的文章.
- 排除标准包括信件,评论,评论,调查和非英语文章,将范围缩小到460项合格研究.
- 研究被按AI模式,整形外科应用和子专业分类.
主要成果:
- 人工智能应用包括患者教育 (54篇文章),外科医生教育 (35),临床决策 (79),结果预测 (62),结果评估 (46),诊断 (133),实践管理 (46) 和研究 (17).
- 大型语言模型 (LLM) 在患者教育中普遍存在,而机器学习则主导了诊断研究.
- 在文献中观察到研究方法和AI模型的异质性.
结论:
- 人工智能在整形外科提供了广泛的机会,但目前的文献显示出显著的异质性.
- 整形外科医生需要了解AI的优势和局限性,以实现道德,安全和有效的整合.
- 涉及外科医生,数据科学家,伦理学家和政策制定者的多学科方法对于在整形外科中推进AI至关重要.
相关概念视频
01:29Evaluating Limits by Direct Substitution
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01:21Plastic Behavior
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