Reimagining leprosy elimination with AI analysis of a combination of skin lesion images with demographic and clinical data

Reimagining leprosy elimination with AI analysis of a combination of skin lesion images with demographic and clinical data

Summary: Background: Leprosy is an infectious disease that mostly affects underserved populations. Although it has been largely eliminated, still about 200’000 new patients are diagnosed annually. In the absence of a diagnostic test, clinical diagnosis is often delayed, potentially leading to irrev...

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Bibliographic Details
Main Authors: Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A. Navarini, Ann Aerts, Juan Lavista Ferres, Milton O Moraes
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:The Lancet Regional Health. Americas
Subjects:
Leprosy
Artificial intelligence
AI
Image-based diagnosis
Dermatology
Skin lesions
Online Access:http://www.sciencedirect.com/science/article/pii/S2667193X22000096

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