MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074291 A) filed by Dr. Sneha Prakash; Dr. Vincy Devi V K; Anjali Sankar; Sukrith Lal P S; Rintu Augustine; Dr. Pulla Sujarani; Kamalakkannan Somasundaram; Dr. A. Poongodi; Shoba Rajendran; and Kavitha Pachamuthu on June 15, 2026, for Ai- Based Diagnostics In Pathology: Automating Tissue Analysis For Accurate Disease Identification.
Inventors include Dr. Sneha Prakash; Dr. Vincy Devi V K; Anjali Sankar; Sukrith Lal P S; Rintu Augustine; Dr. Pulla Sujarani; Kamalakkannan Somasundaram; Dr. A. Poongodi; Shoba Rajendran; and Kavitha Pachamuthu.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to an Artificial Intelligence (AI)-Based Diagnostics in Pathology system for automating tissue analysis and accurate disease identification. The invention integrates digital pathology, image processing, machine learning, deep learning, and computer vision technologies to analyze histopathological tissue images obtained from digitized pathological specimens. The system performs image acquisition, preprocessing, tissue segmentation, feature extraction, abnormality detection, disease classification, biomarker analysis, and automated report generation. Advanced neural network models identify cellular and tissue-level abnormalities associated with cancer, inflammatory disorders, infectious diseases, and other pathological conditions with high accuracy and consistency. The system further provides visual annotations, confidence-based diagnostic recommendations, quantitative pathology measurements, and clinical decision-support capabilities. Cloud-based storage, telepathology access, and continuous learning mechanisms enhance scalability and diagnostic performance. The invention minimizes human error, reduces diagnostic variability, improves workflow efficiency, accelerates disease detection, and supports precision medicine, thereby significantly enhancing pathology diagnostics and patient care outcomes.
Disclaimer: Curated by HT Syndication.
