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手术领域的人工智能热潮:发展、挑战与伦理考量

The AI Surge in Surgery: Evolution, Challenges, and Ethical Considerations.

作者信息

Malik Ayesha Parvaiz, Ahmad Waleed, Iqbal Javed

机构信息

Jinnah Sindh Medical University Karachi, Karachi, Pakistan.

Lahore Medical and Dental College, Lahore, Pakistan.

出版信息

Ann Biomed Eng. 2025 Jul 19. doi: 10.1007/s10439-025-03813-z.

DOI:10.1007/s10439-025-03813-z
PMID:40684058
Abstract

Interestingly, the integration of AI technologies into surgery in the past 5 years has increased by more than 400%, changing the way patients are treated and work is performed globally. Artificial intelligence (AI) in the field of surgery is changing the modern face of medicine by providing it with better accuracy, decision-making, and patient outcomes. Examples of AI in practice suggest their use before, during, and after surgery. Nevertheless, as fast as this is progressing, there are also emerging advanced data privacy problems, inequality in algorithms, and ethical issues associated with training and decision-making. Due to the increasing use of surgical AI systems as support and the possible emergence of autonomous entities, the need to care about clinical validation, ethical regulation, and multidisciplinary work should become stricter. This commentary highlights the current state, opportunity, and protective measures needed to offer fair and practical application of surgical AI. The audience of this commentary is surgical practitioners, healthcare administrators, and policymakers in an effort to foster an informed debate as well as create a system of incentives toward the collaborative model that is indispensable in advancing the responsible incorporation of AI into surgical use.

摘要

有趣的是,在过去5年里,人工智能技术在外科手术中的应用增长超过了400%,改变了全球患者的治疗方式和手术操作方式。外科领域的人工智能正在通过提供更高的准确性、决策能力和患者治疗效果来改变现代医学面貌。人工智能在实际应用中的例子表明,其应用贯穿手术前、手术中和手术后。然而,尽管进展迅速,但也出现了新的数据隐私问题、算法不平等以及与培训和决策相关的伦理问题。由于越来越多地使用外科人工智能系统作为支持,以及可能出现自主实体,对临床验证、伦理监管和多学科合作的关注需求应该变得更加严格。本评论重点介绍了实现外科人工智能公平、实际应用所需的现状、机遇和保护措施。本评论的受众是外科从业者、医疗保健管理人员和政策制定者,旨在促进明智的辩论,并建立一个激励体系,以推动形成一种协作模式,这种模式对于负责任地将人工智能纳入外科应用不可或缺。

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本文引用的文献

1
New era of robotic surgery: first case in Spain of right hemicolectomy on Hugo RAS surgical platform.机器人手术新纪元:西班牙首例 Hugo RAS 手术平台右半结肠切除术。
BMJ Case Rep. 2023 Dec 28;16(12):e256035. doi: 10.1136/bcr-2023-256035.
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Accuracy analysis of artificial intelligence-assisted three-dimensional preoperative planning in total hip replacement.人工智能辅助全髋关节置换术三维术前规划的准确性分析。
Jt Dis Relat Surg. 2023 Sep 16;34(3):537-547. doi: 10.52312/jdrs.2023.1059.
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Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?
人工智能手术:我们如何实现手术中的自主操作?
Sensors (Basel). 2021 Aug 17;21(16):5526. doi: 10.3390/s21165526.
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The Economic Impact of Artificial Intelligence in Health Care: Systematic Review.人工智能在医疗保健领域的经济影响:系统综述
J Med Internet Res. 2020 Feb 20;22(2):e16866. doi: 10.2196/16866.
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Improving Operating Room Efficiency.提高手术室效率。
Curr Urol Rep. 2019 Apr 15;20(6):28. doi: 10.1007/s11934-019-0895-3.
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Clinically applicable deep learning for diagnosis and referral in retinal disease.临床适用的深度学习在视网膜疾病的诊断和转诊中的应用。
Nat Med. 2018 Sep;24(9):1342-1350. doi: 10.1038/s41591-018-0107-6. Epub 2018 Aug 13.
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Ann Surg. 2018 Jul;268(1):70-76. doi: 10.1097/SLA.0000000000002693.
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Machine learning applications in cancer prognosis and prediction.机器学习在癌症预后和预测中的应用。
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