article · JCO Global Oncology

Artificial Intelligence–Based Diagnosis of Kaposi Sarcoma Using Digital Photographs in Dark-Skinned Patients in Uganda

Sarah J. Coates
Robert Lukande
Racheal Ayanga
Sivaramakrishnan Rajaraman
Toby Maurer
Helen Byakwaga
Ethel Cesarman
Matthew Semakadde
David Erickson
Feng Yang
Sameer Antani
Megan Wenger
Micheal Kanyesigye
Zhiyun Xue
Miriam Laker-Oketta
Timothy McCalmont
Aggrey Semeere
Cody Hill
Philip LeBoit
Jeffrey Martin

2026Open accessMakerere University

Abstract

Among dark-skinned patients in Uganda with lesions suspicious for KS, evaluation of digital surface images by an AI-based prediction model produced moderate accuracy for diagnosing KS. While currently inadequate for clinical use, this inaugural assessment is sufficiently promising to justify future evaluation of larger data sets and evolving technologies.

Research topics

AI in cancer detection
Cutaneous Melanoma Detection and Management
Digital Imaging in Medicine

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

View on publisher site Record on OpenAlex

DOI: 10.1200/go-25-00236

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.

New to MARATTO™? Create a free account.