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人工智能在普通外科手术中的术中作用:一项系统综述。

The Intraoperative Role of Artificial Intelligence Within General Surgery: A Systematic Review.

作者信息

Othman Deema, Kaleem Ahmad

机构信息

College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, ARE.

General Surgery, Mediclinic Parkview Hospital, Dubai, ARE.

出版信息

Cureus. 2024 Nov 4;16(11):e73006. doi: 10.7759/cureus.73006. eCollection 2024 Nov.

Abstract

The role of artificial intelligence has been explored in many industries across the world. The medical field is no exception with studies regarding its use for development of algorithms in cancer screening and its diagnostic utility in clinical radiology. This study aims to review current literature on intraoperative use of artificial intelligence within general surgery to identify the latest developments, the major challenges and the trajectory of this field. A literature search was done on PubMed on May 28, 2024, using the terms: ((artificial intelligence) AND (general surgery)). Only publications in English and studies involving human subjects were considered. Exclusion criteria included duplicate papers, irrelevant titles, abstracts, themes, and non-English papers. A literature search on PubMed yielded 13 relevant articles. Among these, five articles focused on intraoperative guidance, four addressed surgical education and training, and four were survey-based exploring perceptions regarding artificial intelligence. Key themes included the development of artificial intelligence-based autonomous actions during surgery and its role in enhancing surgical training. Limitations identified included restricted data availability, ethical concerns, and a lack of validation tools, which pose significant obstacles to progress in this area. Despite existing limitations, the potential for integrating artificial intelligence into general surgery is promising. Careful attention is needed to overcome challenges and maximize its benefits.

摘要

人工智能在全球许多行业中的作用都已得到探索。医学领域也不例外,有关于其在癌症筛查算法开发中的应用以及在临床放射学中的诊断效用的研究。本研究旨在综述目前关于人工智能在普通外科手术中应用的文献,以确定该领域的最新进展、主要挑战和发展轨迹。2024年5月28日在PubMed上进行了文献检索,使用的检索词为:((人工智能)AND(普通外科))。仅考虑英文出版物和涉及人类受试者的研究。排除标准包括重复论文、不相关的标题、摘要、主题和非英文论文。在PubMed上进行的文献检索产生了13篇相关文章。其中,五篇文章关注术中指导,四篇涉及外科教育与培训,四篇是基于调查探讨对人工智能的看法。关键主题包括手术期间基于人工智能的自主行动的发展及其在加强外科培训中的作用。已确定的局限性包括数据可用性受限、伦理问题以及缺乏验证工具,这些都对该领域的进展构成了重大障碍。尽管存在现有局限性,但将人工智能整合到普通外科手术中的潜力是巨大的。需要谨慎关注以克服挑战并使其益处最大化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb70/11617030/d92c963f2d67/cureus-0016-00000073006-i01.jpg

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