Traffic Light Coding System for Engaging With AI in Surgery.

IF 1.5 4区医学 Q3 SURGERY

ANZ Journal of Surgery Pub Date : 2025-05-15 DOI:10.1111/ans.70172

Payal Mukherjee, Amin Beheshti, Shivani Angelique Kumar, Gordon Wallace, Neil Merrett, Jonathan Clark, Simon Kos, Ellen Rawstron, Jian Yang, Stuart Grieve, Amith Shetty, Simon Singer

引用次数: 0

Abstract

Artificial Intelligence (AI) is generally defined as the development of computer systems or machines that can perform tasks typically requiring human intelligence and is increasingly being used in modern healthcare. While, various AI systems have existed for decades, its scale in healthcare has been escalated by global crises such as the COVID-19 pandemic and military conflicts, which has demanded rapid implementation of health system processes that improve efficiency in resource constrained environments. As AI-enabled technologies gain prominence, it is vital for surgeons to understand the various types of AI systems and their applications in medical practice.

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在外科手术中与人工智能互动的红绿灯编码系统。

人工智能（AI）通常被定义为能够执行通常需要人类智能的任务的计算机系统或机器的开发，并且越来越多地用于现代医疗保健。虽然各种人工智能系统已经存在了几十年，但由于2019冠状病毒病大流行和军事冲突等全球危机，人工智能在医疗保健领域的规模不断扩大，这就要求在资源有限的环境中快速实施卫生系统流程，提高效率。随着人工智能技术的日益突出，外科医生了解各种类型的人工智能系统及其在医疗实践中的应用至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ANZ Journal of Surgery 医学-外科

CiteScore

2.50

自引率

11.80%

发文量

720

审稿时长

2 months

期刊介绍： ANZ Journal of Surgery is published by Wiley on behalf of the Royal Australasian College of Surgeons to provide a medium for the publication of peer-reviewed original contributions related to clinical practice and/or research in all fields of surgery and related disciplines. It also provides a programme of continuing education for surgeons. All articles are peer-reviewed by at least two researchers expert in the field of the submitted paper.