MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641092916 A) filed by Kalasalingam Academy Of Research And Education on July 31, 2026, for Functional Mri-Based Machine Learning System For Automated Diagnosis Of Autism Spectrum Disorder Through Brain Connectivity Analysis.
Inventors include V. Krishnamoorthy; Dr. T. Arunprasath; and Dr. M. Pallikonda Rajasekaran.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: This invention relates to a functional MRI-based machine learning system for automated diagnosis of autism spectrum disorder through brain connectivity analysis. It typically includes a MRI Data Acquisition Module (1), an Automated Pre-processing 10 Module (2), a Brain Segmentation Module (3), a Functional Connectivity Analysis Module (4), a Feature Extraction Module (5), a Machine Learning Classifier Module (6), an Explainable Al (XAI) Module (7), a Cloud Database & Management Module (8), and a Report Generation Module (9).This system provides a fully automated, noninvasive, and objective diagnostic framework that enhances clinical accuracy and 15 reduces assessment time through explainable, Al-driven analysis of brain connectivity biomarkers. This system functions as a clinical decision support tool for the early, objective diagnosis of autism spectrum disorder and the monitoring of personalized therapeutic interventions through automated brain network analysis.
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