BioVoice News eMag August 2023 | Page 47

IIT Guwahati researchers develop AIbased model to predict knee osteoarthritis severity from X-ray images
Researchers from the Indian Institute of Technology Guwahati have developed a Deep Learning ( DL ) -based framework , namely OsteoHRNet , that automatically assesses the Knee Osteoarthritis ( OA ) severity from X-rays images .
This AI-based model can be used to detect the severity level of the disease and assist medical practitioners remotely for a more accurate diagnosis .
Researchers have been working to enhance automatic knee osteoarthritis detection from X-Ray images or radiographs to assist clinical evaluation . In this direction , the IIT Guwahati team has developed an AI-based model to automatically assess the severity of Knee OA . The proposed approach is not a direct plug-and-play of popular deep models .
Speaking about the Knee OA prediction model , Dr . Palash Ghosh , Assistant Professor , Department of Mathematics , IIT Guwahati , said , “ Compared to others , our model can pinpoint the area which is medically most important to decide the severity level of knee osteoarthritis thus helping medical practitioners detect the disease accurately at an early stage .”

HealthTech

L V Prasad Eye Institute & Indian Oil Corporation partner to provide care to children with eye cancer
L V Prasad Eye Institute ( LVPEI ) and Indian Oil Corporation Limited have partnered to provide care to children with eye cancer in Telangana and Andhra Pradesh . The collaboration aims to address three key components : raising awareness about eye cancer among patients and the general public , providing medical and surgical treatment support to children with eye cancer , and supplying nutritional supplements to aid in their faster recovery .
Dr Swathi Kaliki , Head of Eye Cancer Services at LV Prasad Eye Institute , said , “ This partnership with Indian Oil Corporation is immensely valuable in creating awareness about this life-threatening condition and providing free treatment to children from disadvantaged families .”
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