Intellectual Property India Publishes Patent Application for 'A Deep Learning-based Diagnostic And Therapeutic Decision Support System For Multi-Class Kidney Stone Identification And Severity Assessment' Filed by Srm Institute Of Science And Technology

MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641006648 A) filed by Srm Institute Of Science And Technology, Chennai, Tamil Nadu, on Jan. 23, for 'a deep learning-based diagnostic and therapeutic decision support system for multi-class kidney stone identification and severity assessment.'

Inventor(s) include Dyagala Naga Sudha; and Dr. N Senthamarai.

The application for the patent was published on Feb. 6, under issue no. 06/2026.

According to the abstract released by the Intellectual Property India: "The invention discloses a deep learning-based diagnostic and decision support system for kidney stone management. The system classifies stones into four subtypes-calcium, struvite, uric acid, and cystine-using medical imaging and clinical data. It predicts stone severity through automated feature extraction and machine learning techniques. Based on subtype and severity, the system recommends appropriate treatment options. The invention provides an integrated, accurate, and efficient framework for improving clinical decision-making in kidney stone diagnosis and therapy."

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