MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641007279 A) filed by Dr. R. Gayathri; Ms. B. Shanmathi; Ms. Pushpa Priya C; and Mrs. Mary Cynthia S, Sriperumbudur, Tamil Nadu, on Jan. 24, for 'automated diagnosis of respiratory diseases from medical imaging using deep learning.'
Inventor(s) include Dr. R. Gayathri; Ms. B. Shanmathi; Ms. Pushpa Priya C; and Mrs. Mary Cynthia S.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "Respiratory diseases represent a significant global health burden and are projected to become one of the leading causes of mortality by 2030. In recent years, artificial intelligence (AI) has gained substantial attention across scientific disciplines, particularly in the medical domain for disease diagnosis and progression assessment. AI-driven machine learning (ML) and deep learning (DL) techniques have emerged as powerful tools for the automated diagnosis of respiratory diseases using medical imaging such as chest radiographs and computed tomography scans. These algorithms enable accurate classification of conditions including pneumonia, tuberculosis, lung cancer, emphysema, asthma, and pulmonary fibrosis by learning complex patterns from large datasets. AI-assisted diagnostic systems enhance precision and support clinicians in distinguishing diseases with overlapping clinical and radiological features. This review highlights recent advancements in AI-based diagnostic approaches for three major respiratory conditions chronic obstructive pulmonary disease (COPD), asthma, and pulmonary fibrosis. The integration of AI into clinical workflows is expected to improve early diagnosis, disease management, and patient outcomes, establishing AI as a valuable adjunct in routine respiratory care."
Disclaimer: Curated by HT Syndication.
