"To AI or Not to AI: Image-Based Diagnostics for Post-Cesarean Delivery Infections in Rural Rwanda"
Tuesday, February 12th, 2019 | 12:00pm - 1:00pm | 42 Church Street Cambridge 02138
In rural Rwanda, 11% of women who deliver via c-section develop a surgical site infection (SSI). Delays in SSI diagnosis and treatment can lead to severe morbidity and mortality among mothers. Our team is assessing ways to leverage the existing network of community health workers (CHWs) to improve post-c-section follow-up with a focus on timely identification of SSIs. We will briefly discuss an image-based diagnostic tool that uses artificial intelligence to diagnose infection based on CHW-generated photos of the c-section incision. The talk will also outline the often forgotten but extremely important questions around the utility of this AI-based diagnostic tool, namely the appropriateness, value-added, feasibility, acceptability, and scalability of this intervention in the context of health care delivery in rural Africa.