MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061611 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on May 14, for 'system for confidence-aware multimodal ultrasound classification using clinical data and method thereof.'
Inventor(s) include Rajesh P; Moshi ST; Anushree R; Idreeze Baig S; Akfal Yusuf I; Santhosh KU; and Jayasuriya R.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure proposes a system (100) for confidence-aware multimodal ultrasound image classification using clinical data through convolutional neural network (CNN)-based feature extraction, modality-based confidence estimation, adaptive confidence-weighted feature fusion, and multimodal computational classification. The system (100) comprises a computing device (102), a network (124), ultrasound image acquisition sources (126), user devices (128), a user interface (128A), and a database (130). The system 100 improves computational classification accuracy during multimodal ultrasound image processing. The system (100) improves robustness and computational efficiency during binary ultrasound image classification operations. The system (100) reduces dependence on manual interpretation during ultrasound image classification operations. The system (100) supports deployment within network-connected healthcare infrastructures and distributed computational imaging environments. The system (100) improves multimodal ultrasound image classification reliability through adaptive computational processing of heterogeneous imaging and clinical data representations."
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