This study presents an innovative, low-cost diagnostic solution for leprosy using
AI-powered analysis of fingerprint infrared scans. The tool leverages thermal imaging
and machine learning algorithms to detect physiological patterns linked to leprosy-related nerve
damage — enabling early, non-invasive, and scalable screening, particularly in remote or
underserved regions.
Developed as part of a broader initiative for neglected tropical disease diagnostics,
this solution has the potential to revolutionize how leprosy is tracked and managed in endemic areas,
addressing both public health and social stigma through accessible technology.
