Mumbai-based healthcare AI leader Qure.ai has secured its 12th Indian patent for a system and method to detect lung abnormalities in medical images. This patent, awarded by the Indian Patent Office, marks Qure.ai’s first achievement involving a large language model (LLM) in medical imaging and AI. With this addition, the company’s global patent portfolio now includes 29 patents.
Qure.ai’s patented system integrates imaging AI with LLM models, enabling the combination of image analysis and patient data for precise diagnoses. The system provides an abnormality confidence score, enhancing diagnostic reliability. It is designed to track lung abnormalities over time, supporting disease progression monitoring and aiding in treatment planning. Notably, the self-evolving model continually updates with each new input, reflecting the latest medical knowledge. It is built for scalability, accommodating new medical data and imaging techniques, and can seamlessly integrate with hospital information systems and electronic health records (EHRs).
With operations in over 90 countries and more than 2,700 sites, Qure.ai has impacted over 20 million lives globally. The company’s diverse patent portfolio includes innovations in advanced image analysis, pattern recognition, workflow optimization, decision support systems, and quality assurance in healthcare AI. This latest patent further solidifies Qure.ai’s position as a global leader in healthcare AI, showcasing its commitment to advancing medical imaging and improving patient outcomes.