Predicting Tuberculosis from Real-World Cough Audio Recordings and Metadata

Researchers developed an AI system that can detect tuberculosis from cough recordings with 70% accuracy using audio alone, improving to 81% when combined with clinical metadata. The study used real-world data from a phone-based app across Africa and Asia, suggesting mobile applications could enhance TB diagnosis in community health settings.