The global burden of Tuberculosis (TB) remains substantial, with millions of new cases and deaths each year, especially in low- and middle-income countries. Despite advancements in healthcare, current diagnostic methods for TB are often slow, resource-intensive, and lack precision. The main challenges included:

• Slow and Inconsistent Diagnostics: Traditional diagnostic techniques such as sputum microscopy and culture take days to weeks to yield results, delaying treatment initiation.
• Dependence on Radiologist Expertise: Radiographic examination of chest X-rays (CXR) heavily relies on the expertise of radiologists, leading to potential misinterpretations and missed diagnoses.
• Resource Constraints: Many regions with high TB burdens face shortages of trained radiologists and specialized laboratory facilities, limiting the availability of accurate diagnostics.