Evidence map›Paper›PMID 40372391›Full record

ArticleANZ journal of surgery2025

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 and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ANZ journal of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Payal MukherjeeFaculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.
Amin BeheshtiCentre for Applied Artificial Intelligence, Macquarie University, Sydney, Australia.ORCID 0000-0002-5988-5494
Shivani Angelique KumarFaculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.ORCID 0000-0003-3902-3771
Gordon WallaceAustralian Institute for Innovative Materials, Intelligent Polymer Research Institute, Wollongong, Australia.
Neil MerrettDiscipline of Surgery, School of Medicine, Western Sydney University, Sydney, Australia.
Jonathan ClarkRoyal Prince Alfred Institute of Academic Surgery, Royal Prince Alfred Hospital, Sydney, Australia.
Simon KosMicrosoft Ltd Australia, Auckland, New Zealand.
Ellen RawstronAgency for Clinical Innovation, NSW Health, Sydney, Australia.
Jian YangCentre for Applied Artificial Intelligence, Macquarie University, Sydney, Australia.
Stuart GrieveSchool of Health Sciences, University of Sydney, Sydney, Australia.
Amith ShettySydney Medical School, Faculty of Health and Medicine, The University of Sydney, Sydney, Australia.
Simon SingerAustralian Government Department of Health and Aged Care, Canberra, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial IntelligenceGeneral SurgerySurgical Procedures, OperativeCOVID-19HumansPandemicsSARS-CoV-2artificial intelligencemedical devicesprivacyregulationsafety

Identifiers

PMID40372391
PMCPMC12571954

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.