1 citations · 1 across the 7 of their papers we have counts for
7 papers
Performance of a large language model-Artificial Intelligence based chatbot for counseling patients with sexually transmitted infections and genital diseases
Nikhil Mehta, Sithira Ambepitiya, Thanveer Ahamad +2
Introduction: Global burden of sexually transmitted infections (STIs) is rising out of proportion to specialists. Current chatbots like ChatGPT are not tailored for handling STI-re…
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…
Mpox Detection Advanced: Rapid Epidemic Response Through Synthetic Data
Yudara Kularathne, Prathapa Janitha, Sithira Ambepitiya +3
Rapid development of disease detection models using computer vision is crucial in responding to medical emergencies, such as epidemics or bioterrorism events. Traditional data coll…
Adapting an Artificial Intelligence Sexually Transmitted Diseases Symptom Checker Tool for Mpox Detection: The HeHealth Experience
Rayner Kay Jin Tan, Dilruk Perera, Salomi Arasaratnam +1
Artificial Intelligence applications have shown promise in the management of pandemics and have been widely used to assist the identification, classification, and diagnosis of medi…
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…
SynthVision -- Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image data
Yudara Kularathne, Prathapa Janitha, Sithira Ambepitiya +3
Rapid development of disease detection computer vision models is vital in response to urgent medical crises like epidemics or events of bioterrorism. However, traditional data gath…