Accelerating cough-based algorithms for pulmonary tuberculosis screening: Results from the CODA TB DREAM Challenge
medRxiv – May 13, 2024
Source: medRxiv/bioRxiv/arXiv
Summary
Cough-based algorithms can revolutionize tuberculosis screening, offering a quick, specimen-free method crucial for global health. In a recent challenge, innovative AI techniques demonstrated impressive accuracy in identifying TB from cough sounds, paving the way for faster and more accessible diagnosis worldwide.
Abstract
Importance Open-access data challenges have the potential to accelerate innovation in artificial-intelligence (AI)-based tools for global health. A specimen-free rapid triage method for TB is a global health priority.