MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202611079363 A) filed by Madan Mohan Malaviya University Of Technology on June 27, 2026, for Explainable Ai-Enabled Secure Multimodal Neuroimaging System For Early Alzheimer’s Disease Detection.
Inventors include Shagufta Shakeel; and Satya Prakash Yadav.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention is related to a multimodal neuroimaging system having XAI for early and progressive diagnosis of AD· The multimodal neuroimaging system is capable of using a multimodal feature fusion system to combine MRI and PET neuroimaging data‚ thus capturing entire structural and metabolic characteristics of a brain· We adopt a hybrid deep learning architecture based on CNNs and transformer-based models to classify diseases and predict prognosis· In addition‚ to assist the physician in the decision-making process‚ we employ an XAI module which generates clinically interpretable results‚ such as saliency mapping‚ region-wise brain-wise and modality-wise contribution· An adaptive learning mechanism allows any of the models to be continuously trained on new longitudinal data· A secured data management system anonymizes‚ encrypts and controls access to the data· Altogether‚ this may provide a scalable‚ interpretable‚ and privacy-preserving system for improving early diagnosis and clinical decision support for patients with AD·
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