[手术中的人工智能. 在术后期减少与多药学相关的风险]
V I Panteleev1, A G Kriger2, N L Shimanovsky1
1Plekhanov Russian University of Economics, Moscow, Russia.
Khirurgiia
|July 1, 2025
概括
人工智能 (AI) 越来越多地用于医疗保健和外科手术,以提高患者护理. 本综述探讨了人工智能在手术中的应用,旨在提高治疗质量,有效性和安全性.
科学领域:
- 医学 医学 医学 医学 医学
- 计算机科学 计算机科学
- 手术技术 手术技术
背景情况:
- 人工智能 (AI) 正在迅速发展,并融入各种领域,包括医疗保健和外科手术.
- 对手术人工智能的研究重点是利用其在患者检查和治疗方面的能力.
- 主要目标是提高手术干预的质量,疗效和安全性.
研究的目的:
- 审查AI在外科手术中的应用的主要领域.
- 提供当前在外科环境中使用人工智能的例子.
- 讨论人工智能在外科实践中的未来轨迹和潜在风险.
主要方法:
- 对手术中人工智能的当前文献的综述.
- 人工智能方法的分类,包括机器学习,自然语言处理,人工神经网络和计算机视觉.
- 分析人工智能在特定应用中的作用,例如减轻外科手术期间的多药房风险.
主要成果:
- 人工智能,包括机器学习,NLP,神经网络和计算机视觉,正在整个手术患者护理中应用.
- 具体应用包括在外科期间减少与多药学相关的风险.
- 该审查确定了目前使用人工智能的关键领域及其潜在影响.
结论:
- 人工智能为改善手术护理的质量,有效性和安全性提供了巨大的潜力.
- 了解各种AI方法及其应用对于外科手术的进步至关重要.
- 为了在手术中负责任地开发人工智能,需要进一步的研究和仔细考虑风险.
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