Traffic light coding system for engaging with AI in surgery

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

doi:10.1111/ans.70172

Traffic light coding system for engaging with AI in surgery

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

School of Medicine

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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.

Original language	English
Pages (from-to)	1993-1998
Number of pages	6
Journal	ANZ Journal of Surgery
Volume	95
Issue number	10
DOIs	https://doi.org/10.1111/ans.70172
Publication status	Published - Oct 2025

Keywords

artificial intelligence
medical devices
privacy
regulation
safety

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10.1111/ans.70172Licence: CC BY

Full textFinal published version, 159 KBLicence: CC BY

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AU - Kos, Simon

AU - Rawstron, Ellen

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Traffic light coding system for engaging with AI in surgery

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