Articles

TB is still a major public health problem and is responsible for substantial mortality and morbidity around the world. Timely and proper diagnosis is crucial for proper treatment and disease control. The review highlights the existing and new strategies used for TB diagnosis, such as conventional and molecular methods, immunological assays, biosensor-based platforms, and artificial intelligence (AI)-aided tools. New technologies like GeneXpert testing, NG sequencing, and non-sputum-based diagnostics have enhanced the timeliness and quality of TB diagnosis, especially drug-resistant TB. But problems associated with cost, infrastructure, and accessibility persist in preventing broad adoption. New diagnostic opportunities related to technologies that are faster, cheaper, and more user-friendly, developed at the point of care, could improve TB detection and help to contribute to global TB elimination.