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What is AI in TB Cough Diagnosis Review about?

This narrative review examines the evolving role of artificial intelligence (AI) in enhancing cough detection for tuberculosis (TB) diagnosis, addressing the limitations of traditional diagnostic methods. The study highlights the promising results of AI algorithms in accurately identifying TB-related cough patterns, while also acknowledging challenges such as data variability and the need for standardized protocols. Ultimately, the integration of AI into clinical practice could significantly improve TB diag

Author

Malini Prithiva Kumari

Language

EN