Evidence Hub

Revised Surgical CAse REport (SCARE) guideline: An update for the age of Artificial Intelligence

Ahmed Kerwan, A. Al-Jabir, Ginimol Mathew, C. Sohrabi, Rasha Rashid, T. Franchi, Maria Nicola, M. Agha et al.

Premier Journal of Science, 2025

1,732 citations

Abstract

Introduction: Artificial intelligence (AI) is rapidly transforming healthcare and scientific publishing. Reporting guidelines need to be updated to take into account this advance. The SCARE Guideline 2025 update adds a new AI-focused domain to promote transparency, reproducibility, and ethical integrity in surgical case reports involving AI.

Methods: A Delphi consensus exercise was conducted to update the SCARE guidelines. A panel of 49 surgical and scientific experts were invited to rate proposed new items. In round 1, participants scored each item on a 9-point Likert scale and provided feedback. Items not meeting consensus were revised or discarded.

Results: A 94% response rate occurred amongst participants (46/49) in the first round. Ratings were analysed for agreement levels, and consensus was reached on all six proposed AI-related items. A revised SCARE checklist is presented which incorporates these new AI related items. Authors are now expected to disclose AI involvement not only in patient care but also in manuscript preparation, as exemplified by this paper.

Conclusion: The SCARE 2025 guideline provides an up-to-date framework for surgical case reports in the era of AI. Through a robust consensus process, we have added specific reporting criteria for AI to ensure that any use of artificial intelligence in a case report is clearly documented, explained and discussed including with respect to bias and ethics. This update will help maintain the quality, transparency,…

How strong is the evidence?

Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free