From Pixels to Prognosis: How Artificial Intelligence (AI) Analyzes Medical Images for Childhood Pneumonia Detection
The authors, Taofeeq Oluwatosin Togunwa and Abdulhammed Opeyemi Babatunde, are part of a Mentored Child Health Research Project led by the Duke Center for Policy Impact in Global Health and the University of Ibadan Medical Students Association.IntroductionPneumonia is the number one infectious cause of death in childhood, causing about 700,000 deaths a year.1 India bears the highest burden, contributing to nearly 20% of global childhood pneumonia deaths.2 Pneumonia remains one of the leading causes of death among children under 5 years in Sub-Saharan Africa (SSA),3 threatening the achievement of target 3.2 of Sustainable Development Goal 3, the target of reducing child mortality to 25 deaths per 1,000 live births or lower by 2030. The region's high pneumonia mortality is linked to inadequate healthcare resources, poor health financing, and a high…