Summary
Tuberculosis screening faces challenges of under-detection, costly approaches, and inequitable access. AI-enabled digital stethoscopes have demonstrated promising accuracy and feasibility for detecting lung and cardiovascular abnormalities, with promising results in early TB studies. Training and validation in diverse, high-burden settings are essential to explore the potential of this tool further.
