MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202521054497 A) filed by Ms. Madhuri Satish Kulkarni; and Dr. Rais Abdul Hamid Khan, Nashik, Maharashtra, on June 5, for 'system and method for diagnosis of anterior cruciate ligament injuries using deep learning approach.'
Inventor(s) include Ms. Madhuri Satish Kulkarni.
The application for the patent was published on July 11, under issue no. 28/2025.
According to the abstract released by the Intellectual Property India: "A crucial component of sports medicine is the early detection of anterior cruciate ligament (ACL) tears, since prompt diagnosis is necessary for efficient treatment and recovery. Conventional diagnostic techniques, such as physical examinations and magnetic resonance imaging (MRI), include drawbacks like the requirement for expert interpretation and inter- observer variability. The present invention creates a deep learning model that will enable automated identification of ACL tears from MRI pictures, offering a dependable, effective, and impartial diagnostic tool. In order to improve patient outcomes and save healthcare costs, this project aims to improve diagnosis accuracy and consistency by utilizing sophisticated neural network designs and a large dataset of labelled MRI images."
Disclaimer: Curated by HT Syndication.
