Editor's Pick Original Investigation

Detecting Incisional Surgical Site Infections on Wound Images Through Deep Learning

JAMA Surgery 10.1001/jamasurg.2026.3738

August 26, 2026 at 11:00 AM EDT

Read the full article

This study developed and validated a deep learning model for detecting SSIs from wound images, showing high potential for automated triage of cases if clinically integrated.

Corresponding Author: Marja A. Boermeester, Department of Surgery, Amsterdam UMC location University of Amsterdam, De Boelelaan 1117, 7F-28, Amsterdam 1081HV, the Netherlands (m.a.boermeester@amsterdamumc.nl).

Link to the article in your story

We encourage you to link out to this article in your story using the link below. It includes an access token that will give free access to the article for your readers up to one year after publication. (The link will be live after the article publishes and embargo is lifted.)

https://jamanetwork.com/journals/jamasurgery/fullarticle/10.1001/jamasurg.2026.3738?utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_term=082626

Please see the article for additional information, including full author list, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

Need more information? Contact us.

Editor's Picks