SESSION

Early Diagnosis of Diabetic Retinopathy in Sub-Saharan Africa.

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Science and Machine Learning
INDUSTRYHealth and Life Sciences
TECHNOLOGIESData Sharing, AI/Machine Learning, SQL Analytics / BI / Visualizations
SKILL LEVELBeginner
DURATION40 min

This research investigates the application of Artificial Intelligence (AI) for early diagnosis of Diabetic Retinopathy (DR) in Sub-Saharan Africa (SSA). Recognizing the region's limited resources, scarcity of skilled healthcare professionals, and inadequate infrastructure, the study proposes an innovative AI-based diagnostic framework. By integrating machine learning algorithms with retinal imaging technologies, the system aims to provide rapid and accurate assessments, particularly in underserved areas. The research addresses ethical considerations, emphasizes local collaborations, and utilizes diverse datasets for training and validation. The study anticipates contributing a validated AI model tailored to the SSA context, offering insights into feasibility, impact, and challenges, with the ultimate goal of enhancing accessibility and quality of care for individuals with diabetes and DR in the region.

SESSION SPEAKERS

IMAGE COMING SOON

Modou Jallow

/CEO and Senior Data Scientist
Gomindz