本文由小咖机器人翻译整理

期刊来源：Nat Med

原文链接：https://doi.org/10.1038/s41591-024-02970-3

摘要内容如下：

人工智能（AI）在医疗保健领域迅速崛起，但在外科手术中的应用仍处于相对初期阶段。在这里，我们回顾了人工智能在外科领域的整合，集中讨论了外科护理在术前、术中和术后空间的多方面改进。基础模型架构、可穿戴技术和不断改进的外科手术数据基础设施的出现，使人工智能干预和应用得以快速发展。我们讨论了成熟的人工智能方法如何具有改善患者结果、促进外科教育和优化外科护理的潜力。我们回顾了深度学习方法的当前应用，并通过多模态基础模型概述了未来进展的愿景。

英文原文如下：

Abstracts

Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery remain relatively nascent. Here we review the integration of AI in the field of surgery, centering our discussion on multifaceted improvements in surgical care in the preoperative, intraoperative and postoperative space. The emergence of foundation model architectures, wearable technologies and improving surgical data infrastructures is enabling rapid advances in AI interventions and utility. We discuss how maturing AI methods hold the potential to improve patient outcomes, facilitate surgical education and optimize surgical care. We review the current applications of deep learning approaches and outline a vision for future advances through multimodal foundation models.

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