Kiwan Omar, Al-Kalbani Mohammed, Rafie Arash, Hijazi Yasser
Faculty of Biology, Medicine and Health, University of Manchester, United Kingdom.
Plastic and Reconstructive Department, Lancashire Teaching Hospitals NHS Foundation, United Kingdom.
JPRAS Open. 2024 Sep 14;42:234-243. doi: 10.1016/j.jpra.2024.09.003. eCollection 2024 Dec.
Since the pandemic, artificial intelligence (AI) has been integrated into several fields and everyday life as well. Healthcare is not an exception. Plastic surgery is a key focus area of this technological revolution, with hundreds of studies and reviews already published on the use of AI in plastics. This review summarizes the entirety of the available literature from 2020 to provide a comprehensive overview on AI innovation in plastic surgery. A systematic literature review (following the PRISMA guidelines) of all studies and papers that examined the application of AI in plastic surgery was carried out using Medline, Cochrane, Embase, and Google Scholar. Outcomes of interest included the growing role of AI in clinical consultations, diagnosing potentials, surgical planning, intraoperative, and post-operative uses. Ninety-six studies were included in this review; six examined the role of AI in consultations, fifteen used AI in diagnoses and assessments, seventeen involved AI in surgical planning, fifteen reported on AI use in post-operative predictions and management, and nine involved administrations and documentation. This comprehensive review of available literature found AI to be capable of transforming care throughout the entire patient journey. Certain challenges and concerns persist, but a collaborative effort can solve these issues to bring about a new era of medicine, where AI aids doctors in the pursuit of optimal patient care.
自疫情大流行以来,人工智能(AI)已融入多个领域及日常生活之中。医疗保健领域也不例外。整形手术是这场技术革命的一个关键重点领域,已有数百项关于在整形领域使用人工智能的研究和综述发表。本综述总结了2020年以来的全部现有文献,以全面概述整形手术中的人工智能创新。我们按照系统评价和Meta分析的首选报告项目(PRISMA)指南,使用医学在线数据库(Medline)、考克兰图书馆(Cochrane)、荷兰医学文摘数据库(Embase)和谷歌学术搜索引擎,对所有研究人工智能在整形手术中应用的研究和论文进行了系统的文献综述。感兴趣的结果包括人工智能在临床会诊、诊断潜力、手术规划、术中及术后应用中日益重要的作用。本综述纳入了96项研究;其中六项研究探讨了人工智能在会诊中的作用,十五项研究将人工智能用于诊断和评估,十七项研究将人工智能用于手术规划,十五项研究报告了人工智能在术后预测和管理中的应用,九项研究涉及管理和文档记录。对现有文献的这一全面综述发现,人工智能能够在患者的整个就医过程中改变医疗护理。某些挑战和担忧依然存在,但通过共同努力可以解决这些问题,从而开启医学的新时代,在这个时代,人工智能协助医生追求为患者提供最佳护理。
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