IIT Jodhpur researchers predict COVID-19 from chest X-rays

The experiment was performed with more than 2,500 chest X-ray images and achieved about 96.80 per cent sensitivity. 

Researchers at the Indian Institute of Technology (IIT) Jodhpur have come up with an automated artificial intelligence (AI) solution for COVID-19 prediction from chest X-rays. The experiment was performed with more than 2,500 chest X-ray images and achieved about 96.80 per cent sensitivity. 

A statement issued by IIT Jodhpur said the researchers at IIT Jodhpur have proposed a deep learning-based algorithm called COMiT-Net, which learns the abnormalities present in the chest X-ray images to differentiate between a COVID-19 affected lung and a non-COVID affected lung. 

"The developed AI algorithm not only predicts whether the CXR has COVID-19 pneumonia or not, but it is also capable of identifying the infected regions in the lungs, thus making them explainable," IIT Jodhpur stated. 

Proposed study visually showcases infected region 

Though there have been several research studies in COVID-19 detection using X-ray or CT scans in the past years, most of them fail to provide an explainable solution. The uniqueness of this research is the proposed study which can visually showcase the region which is infected. The technique interprets only from the lung region. The institute claims that the AI solution used in this research is explainable from both algorithmic and medical points of view.

A research paper on the project has been published in the journal, ‘Pattern Recognition (Volume 122)’. The research is part of the RAKSHAK project under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), Ministry of Science and Technology, Department of Science and Technology, and iHuB Drishti at IIT Jodhpur.  
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