Qure.ai Secures 12th Patent in India for Advanced Lung Abnormality Detection System

This achievement marks Qure.ai's first large language model (LLM) patent, cementing its status as a leader in innovation . 

Mumbai, 14th August, 2024: Qure.ai, a global leader in healthcare AI, has announced its 12th patent in India, awarded by the Indian Patent Office for ‘A system and method for detecting lung abnormalities in a medical image.’ This patent represents Qure.ai’s first for a large language model (LLM), highlighting the company’s advancements in medical imaging and AI. With this latest addition, Qure.ai’s global patent portfolio now stands at 29. 

Qure.ai’s system combines imaging AI and LLM models to integrate image analysis and patient data for accurate diagnoses, providing an abnormality confidence score to enhance reliability. It tracks lung abnormalities over time, aiding in disease progression monitoring and treatment planning. The self-evolving model improves with each input, staying updated with the latest medical knowledge. Designed for scalability, it incorporates new medical data and imaging techniques while integrating seamlessly with hospital information systems and EHRs. 

Bunty Kundnani, Chief Regulatory Affairs Officer at Qure.ai, commented on the achievement: “We take immense pleasure in announcing Qure.ai’s 12th patent in India. This patent is a testament to our ongoing efforts to innovate and transform healthcare with AI, ultimately benefiting patients and medical professionals alike. We are excited about the future and the continued impact of our innovations on global health.” 

Qure.ai is dedicated to leveraging AI technology to ensure healthcare remains accessible and equitable globally. This mission shapes the company’s product development, expansion, and collaborations. With a presence in over 90 countries and more than 2,700 sites, Qure.ai has positively impacted over 20 million lives to date. The company’s patent portfolio features a wide array of innovations, including advanced image analysis, pattern recognition, workflow optimization, decision support systems, and quality assurance in healthcare AI.