Subclinical Detection, High-Precision Analysis Of Radiology Scans — How AI Can Enhance Tuberculosis Diagnosis

The integration of artificial intelligence and radiology can offer a large number of benefits. Artificial intelligence can also facilitate the identification of drug-resistant strains of TB bacteria.

If the diagnosis is subclinical, which means the disease is identified through tests before external signs and symptoms appear, more effective treatment will be possible. This form of diagnosis, known as active surveillance, can be enhanced with the help of artificial intelligence. 

Source : Playground AI

Artificial intelligence has a wide variety of applications in medical science, especially in the early detection of diseases, and patient monitoring. Tuberculosis, a respiratory disease of the lungs caused by Mycobacterium tuberculosis, is mostly diagnosed through X-ray or computed tomography scans conducted on a patient with symptoms such as cough with pain in the chest, cold, headaches, loss of appetite, fatigue, night sweats, chills, and weight loss.  However, late detection of