Integrating artificial intelligence (AI) in radiology for early detection of tuberculosis (TB) is gradually gathering pace with several Indian health tech companies building deep learning models for screening and analysing abnormalities associated with the infectious disease.
Delhi-based independent non-profit organisation Wadhwani AI and Mumbai-based startup Qure.ai are among those that have started to build AI-based solutions for TB screening and detection.
While Wadhwani AI is working on the development and deployment of AI solutions in partnership with the union health ministry and agencies such as Central TB Division (CTD) and USAID, Qure.ai is looking to leverage deep learning technology
Integrating artificial intelligence (AI) in radiology for early detection of tuberculosis (TB) is gradually gathering pace with several Indian health tech companies building deep learning models for screening and analysing abnormalities associated with the infectious disease.
Delhi-based independent non-profit organisation Wadhwani AI and Mumbai-based startup Qure.ai are among those that have started to build AI-based solutions for TB screening and detection.
While Wadhwani AI is working on the development and deployment of AI solutions in partnership with the union health ministry and agencies such as Central TB Division (CTD) and USAID, Qure.ai is looking to leverage deep learning technology
