Intellectual Property India Publishes Patent Application for Early Detection Of Alzheimer'S Disease Using Multi Modal And Explainable Ai

MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641096931 A) filed by Avinash J; Abhinaya V S; and Dr. S. Ramesh on August 11, 2026, for Early Detection Of Alzheimer'S Disease Using Multi Modal And Explainable Ai.

Inventors include Avinash J; Abhinaya V S; and Dr. S. Ramesh.

The application for the patent was published on September 11, 2026, under issue no. 37/2026.

Abstract: The present invention relates to an intelligent and explainable Artificial Intelligence-based system for the early detection of Alzheimer's disease using a multimodal learning approach. More particularly, the invention integrates Magnetic Resonance Imaging (MRI) brain images with clinical and cognitive information to improve the accuracy, reliability, and interpretability of Alzheimer's disease diagnosis. The system employs advanced deep learning architectures, including VGG I 6 and ResNet50, to extract meaningful spatial features from MRI images, while a Multi-Layer Perceptron (MLP) model processes structured clinical and cognitive data. The outputs obtained from both models are integrated using a Late Fusion strategy to generate a comprehensive and accurate prediction of the disease stage. Furthermore, the invention incorporates Explainable Artificial Intelligence (XAI) through Gradient-weighted Class Activation Mapping (Grad- CAM), enabling visualization of the significant brain regions influencing the model's decision and thereby enhancing transparency and clinician confidence. The proposed system is capable of classifying patients into different stages of cognitive impairment, including No Impairment, Very Mild, Mild, and Moderate Alzheimer's disease. By combining multimodal information with explainable deep learning techniques, the invention overcomes the limitations of conventional single-modality diagnostic systems and provides an efficient computer-aided diagnostic solution for healthcare professionals. The invention facilitates early intervention, supports informed clinical decision-making, reduces dependency on subjective manual interpretation, and has potential applications in hospitals, diagnostic centers, telemedicine platforms, and intelligent healthcare systems for large-scale Alzheimer's disease screening and monitoring.

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