Tuberculosis: Grand Challenges Africa Grant – Monitoring and Evaluation (M&E) Framework

Mihaja Raberahona from the Équipe de Recherche Clinique en Maladies Infectieuses in Madagascar will develop an AI-based triage tool to identify patients likely to have pulmonary tuberculosis by combining physiological data from wearable devices, cough acoustics, and anthropometric data. They will create an AI model capable of detecting patterns in this combined data to help minimally trained medical staff quickly prioritize patients needing confirmatory tests. From a cohort of patients showing symptoms suggestive of tuberculosis in primary healthcare centers in Madagascar, they will collect physiological and anthropometric data, perform digital chest X-rays, analyze cough sounds, and use a GeneXpert molecular assay to detect Mycobacterium tuberculosis. They will evaluate the AI-based triage tool’s performance primarily against the microbiological test, as well as other current screening methods, including chest X-rays analyzed by clinicians with or without AI support.

More information about Grand Challenges Africa: Catalyzing Equitable Artificial Intelligence (AI) Use to Improve Global Health

Initiative Grand Challenges Africa aiming to promote equitable AI use for global health improvement.
Source: gcgh.grandchallenges.org