Methods and applications of artificial intelligence in tuberculosis diagnostics: advances, opportunities, and challenges
Tuberculosis (TB) remains a leading global health challenge, with more than ten million cases annually and persistent diagnostic gaps that delay treatment and drive transmission. Despite advances in molecular assays and imaging technologies, conventional diagnostic tools, such as sputum microscopy, culture, and nucleic...