Active

Local clinical knowledge for AI

With Gillings Innovation Lab support, we study how structured feedback from clinicians can improve AI-generated cases. Daktari-DX is the interface clinicians use to review those cases and contribute local clinical knowledge.

Funding Gillings Innovation Lab (award ended 30 June 2026; research continues)
Partners CFK Africa

Overview

With Gillings Innovation Lab (GIL) support for RLEF Data Generation, we study how structured feedback from practicing clinicians can improve AI-generated clinical cases used for training and evaluation. Daktari-DX is the clinician-facing interface built with CFK Africa that clinicians use to review AI-generated cases and contribute local clinical knowledge.

What we are studying

  • Whether structured clinician feedback improves the clinical accuracy of AI-generated case vignettes
  • How to collect and aggregate local clinical knowledge through a review interface
  • Evaluation frameworks for AI-generated clinical scenarios

Status

Active research. GIL funding for RLEF Data Generation ended 30 June 2026; the research line continues through Daktari-DX. No model developed in this work has demonstrated clinical effectiveness, and none is presented as a deployed clinical tool.

Read more about Daktari-DX on our Tools page.