TB is one of the top 10 causes of death and the leading cause from a single infectious agent (above HIV/AIDS)” We had come a long way through from 1993 when WHO declared TB as a global health emergency.
The areas to focus on for countries targeting to reduce their TB burden (by 2035) are digital health care, surveillance, better program management, professional training, and efficient communication. The focus is also on improved access to medical care, especially diagnostic tests.
Artificial Intelligence is making deep inroads into TB diagnosis and treatment via deep learning insights into radiology and pathology, thus helping enormously in the early and accurate detection of TB so that required treatment can be provided. iDoc.ai’s (https://idoc.ai/) AI-based solution for detecting TB from chest X-Ray scans is one example where the power of AI can augment the existing capabilities in radiology. The snippet can be found on https://idoc.ai/pulmonology-itbd/.