MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641072789 A) filed by Dr. S. Brintha Rajakumari; Rajeashwari Srinivasa Ragavan; Mr. R. Sadaiyappan; Dr. Puppala Naga Sravanthi; Dr. S Elango; Dr. Angshumala Talukdar; Dr. Aarti; Dr. S Suganthi; Lt. Dr. A. Joseph Arockiam; and Dr. R. G. Padmanabhan on June 12, 2026, for Ai-Driven Secure Biomedical Imaging And Management Framework Using Blockchain For Medical Diagnosis And Data Authentication.
Inventors include Dr. S. Brintha Rajakumari; Rajeashwari Srinivasa Ragavan; Mr. R. Sadaiyappan; Dr. Puppala Naga Sravanthi; Dr. S Elango; Dr. Angshumala Talukdar; Dr. Aarti; Dr. S Suganthi; Lt. Dr. A. Joseph Arockiam; and Dr. R. G. Padmanabhan.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention relates to an AI-Driven Secure Biomedical Imaging and Management Framework Using Blockchain for Medical Diagnosis and Data Authentication. The framework integrates biomedical image acquisition systems, artificial intelligence-based diagnostic modules, blockchain-enabled authentication mechanisms, cloud computing infrastructure, and secure healthcare data management technologies into a unified platform. Medical images acquired from various imaging modalities are processed using advanced machine learning and deep learning algorithms to perform disease detection, image classification, abnormality identification, segmentation, and diagnostic support. Simultaneously, blockchain technology generates immutable authentication records and cryptographic verification information to ensure image integrity, traceability, and protection against unauthorized modifications. The framework further incorporates smart contracts, encrypted storage, secure access control, audit trail management, telemedicine connectivity, and predictive healthcare analytics. The proposed invention enhances diagnostic reliability, patient data security, healthcare interoperability, and clinical decision-making efficiency while providing a trustworthy, scalable, and tamper-resistant ecosystem for next-generation digital healthcare and biomedical imaging applications.
Disclaimer: Curated by HT Syndication.
