The professor, who took over 40 days to develop the software, has filed a patent for the same and has approached the Indian Council of Medical Research (ICMR) for a review.
Kamal Jain, a professor at the institute’s civil engineering department, claims that the software will not only reduce testing costs but will also reduce the risk of exposure to healthcare professionals.
So far, there is no verification of his claim by a medical institution.
“I first developed an artificial intelligence-based database after analysing over 60,000 X-ray scans, including those of COVID-19, pneumonia and tuberculosis patients to differentiate between the kind of chest congestion suffered in the three diseases. I also analysed the chest x-ray database of the United States’ NIH Clinical Center,” Jain told PTI.
“Using the software developed by me, the doctors can simply upload pictures of an individual’s X-ray. The software will not only classify whether the patient has any sign of pneumonia, it will be able to tell whether it is due to COVID-19 or other bacteria and also measure severity of the infection.
The results can be processed within five seconds” he added.
Jain said the software can help in accurate preliminary screening which can be supplemented by clinical testing for those tested positive for the deadly virus. “The pneumonia caused by COVID-19 is severe than other bacteria as it affects lungs completely than smaller portions of lungs in other cases. The software will analyse bilateral opacity, pattern of fluid build-up in lungs and nature of clump or clot if any,” the professor said.