Home / Events / Monthly Speaker Series / July 2026
ABOUT THIS SESSION
Artificial intelligence has moved from research demos into real clinical workflows, and Africa has a growing role in shaping how it gets used. But hype is outpacing practice: it is easy to promise what an AI tool will do for a hospital, and harder to know if that promise holds up in the actual clinic, on a variable data connection, with the patients you serve.
Featuring Dr. Franck Tchafa, an applied AI/ML engineer specializing in clinically grounded, high-impact machine learning solutions, this session cuts through the buzz. Franck walks through what today’s tools can and cannot do in routine care, how to think about safe deployment in African settings, and the plain-language questions every clinician should ask before adopting an AI product.
Clinicians, informaticians, health system leaders, and public health professionals are invited to join the discussion and take away a practical framework for evaluating AI in their own practice.
FEATURED SPEAKER
A rare combination of clinical understanding and machine learning engineering.
Dr. Franck Tchafa is an applied AI/ML engineer specializing in clinically grounded, high-impact machine learning solutions. His work sits at the intersection of practical machine learning and healthcare delivery, focused on the questions that actually matter once a tool leaves the lab and enters daily practice.
WHAT WE WILL DISCUSS
Cutting through the hype so clinicians and health system leaders can make confident decisions about AI in African healthcare.
Where AI tools actually reduce clinical and administrative burden today, and where they do not. Concrete examples of the workflows most likely to benefit first, and how to spot when a tool is really solving a problem versus adding a new one.
A practical overview of the current capabilities and hard limits of clinical AI. Where models are reliable enough for routine use, where they should stay in a research role, and how to read the marketing between the two.
Data, connectivity, patient population, regulatory environment, and workforce readiness. What has to be true before an AI tool built elsewhere can be trusted in an African clinical setting, and what a responsible rollout actually looks like.
A simple, transferable checklist you can use with any vendor or research team. The questions that separate real clinical value from a good pitch deck, in language you can use with non-technical colleagues and decision-makers.
EVENT DETAILS
RESERVE YOUR SEAT
Open to clinicians, informaticians, health system leaders, and public health professionals across Africa and the diaspora. Join the live session for the discussion and Q&A with Dr. Tchafa.
Questions about this session?
Email info@africanhealthcareassociation.com or call +1 (800) 951-1265
