Executive summary of the artificial intelligence in surgery series.
Executive summary of the artificial intelligence in surgery series.
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DOI：
10.1016/j.surg.2021.10.047
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发表时间：
2022-05
期刊：
影响因子：
3.8
通讯作者：
Behrns, Kevin E.
中科院分区：
文献类型：
--
作者：
Loftus, Tyler J.;Vlaar, Alexander P. J.;Hung, Andrew J.;Bihorac, Azra;Dennis, Bradley M.;Juillard, Catherine;Hashimoto, Daniel A.;Kaafarani, Haytham M. A.;Tighe, Patrick J.;Kuo, Paul C.;Miyashita, Shuhei;Wexner, Steven D.;Behrns, Kevin E.
随着人工智能增强外科护理的机会不断扩大，随之而来的已发表文献的激增引发了人们对人工智能在外科手术中的安全性和有效性的极大热情和严重担忧。对于外科医生和手术数据科学家来说，了解最先进的技术、认识知识和技术差距并相应地批判性地评估大量文献变得越来越重要。本文总结了全球多学科专家组的经验和观点，他们面临着开发和实施方面的挑战，克服了这些挑战，并提供了初步的证据。总的来说，证据表明人工智能有潜力通过决策支持、技术技能评估以及半自主执行任务（从资源分配到修补前肠缺陷）来增强外科医生的能力。大多数应用仍处于临床前阶段。随着技术及其实施的改进和积极证据的积累，外科医生将面临专业要求，以引领人工智能在外科手术中安全、有效的临床实施。仍然存在重大挑战；最近在利用人工智能实现手术性能优势方面取得的进展表明，剩余的挑战可以而且将会被克服。
As opportunities for artificial intelligence to augment surgical care expand, the accompanying surge in published literature has generated both substantial enthusiasm and grave concern regarding the safety and efficacy of artificial intelligence in surgery. For surgeons and surgical data scientists, it is increasingly important to understand the state-of-the-art, recognize knowledge and technology gaps, and critically evaluate the deluge of literature accordingly. This article summarizes the experiences and perspectives of a global, multi-disciplinary group of experts who have faced development and implementation challenges, overcome them, and produced incipient evidence thereof. Collectively, evidence suggests that artificial intelligence has the potential to augment surgeons via decision-support, technical skill assessment, and the semi-autonomous performance of tasks ranging from resource allocation to patching foregut defects. Most applications remain in pre-clinical phases. As technologies and their implementations improve and positive evidence accumulates, surgeons will face professional imperatives to lead the safe, effective clinical implementation of artificial intelligence in surgery. Substantial challenges remain; recent progress in using artificial intelligence to achieve performance advantages in surgery suggests that remaining challenges can and will be overcome.
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影响因子：
3.8
作者：
van der Ven, Ward H.;Veelo, Denise P.;Geerts, Bart F.
通讯作者：
Geerts, Bart F.
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影响因子：
9
作者：
Hashimoto DA;Rosman G;Rus D;Meireles OR
通讯作者：
Meireles OR
影响因子：
3.8
作者：
Dang, Lauren Eyler;Hubbard, Alan;Juillard, Catherine
通讯作者：
Juillard, Catherine
影响因子：
3.8
作者：
Sun, Bo;Wood, Georgina;Miyashita, Shuhei
通讯作者：
Miyashita, Shuhei
影响因子：
3.8
作者：
Brennan M;Hagan JD;Giordano C;Loftus TJ;Price CE;Aytug H;Tighe PJ
通讯作者：
Tighe PJ