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AI enhanced diagnosis of Peyronies disease a novel approach using Computer Vision
Yudara Kularathne, Janitha Prathapa, Prarththanan Sothyrajah +4
This study presents an innovative AI-driven tool for diagnosing Peyronie's Disease (PD), a condition that affects between 0.3% and 13.1% of men worldwide. Our method uses key point…
Mpox Screen Lite: AI-Driven On-Device Offline Mpox Screening for Low-Resource African Mpox Emergency Response
Yudara Kularathne, Prathapa Janitha, Sithira Ambepitiya
Background: The 2024 Mpox outbreak, particularly severe in Africa with clade 1b emergence, has highlighted critical gaps in diagnostic capabilities in resource-limited settings. Th…
The Development and Performance of a Machine Learning Based Mobile Platform for Visually Determining the Etiology of Penile Pathology
Lao-Tzu Allan-Blitz, Sithira Ambepitiya, Raghavendra Tirupathi +2
Machine-learning algorithms can facilitate low-cost, user-guided visual diagnostic platforms for addressing disparities in access to sexual health services. We developed a clinical…