Development and validation of a deep learning model for differentiating cytomegalovirus and herpes simplex virus esophagitis using endoscopic images
A new deep learning model has been developed to help doctors distinguish between CMV and HSV esophagitis using endoscopic images. The model uses a curriculum learning strategy to improve diagnostic accuracy in visually ambiguous cases.
Why it matters
Automated diagnostic tools can assist clinicians in making faster treatment decisions for immunocompromised patients, reducing the need for invasive biopsies.
Scientific Reports ( 2026 ) Cite this article
We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.
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