Qure.ai announced its collaboration with Microsoft. Under the collaboration, Qure.ai will onboard its end-to-end lung cancer detection, measurement and management suite of Artificial Intelligence (AI)-powered solutions onto the Precision Imaging Network. This will streamline deployment of Qure.ai solutions to hospitals and health systems across the USA, driving digital healthcare transformation, improved tech integrations and ultimately enhance quality of patient care.

The Qure.ai suite of lung cancer algorithms is built from Large Language Models (LLMs) and Agentic AI. Qure.ai augments clinical workflows between radiologists, pulmonologists, interventionalists and thoracic surgery teams, to accelerate the patient pathway from early detection to diagnosis and treatment. It aims to answer the biggest cancer challenge in the US today, with lung cancer responsible for more deaths in the US than colon, breast and prostate cancers combined.

Jim Mercadante, Chief Commercial Officer (CCO), Qure.ai, stated, “The Qure.ai and Microsoft collaboration brings new levels of choice and simplicity for hospitals and health systems across the USA. It will power-up access to early detection, triage and tracking to improve patient care, boost survival rates and reduce overall healthcare costs. It will also bolster a growing global roster of strategic alliances between Qure.ai, academia, governments, pharmaceutical, life science and tech companies, united in advancing the digitisation of health. Recently, via a long-term partnership with AstraZeneca and the EDISON Alliance, Qure.ai achieved a unique five million scan milestone across 20 countries, applying AI to routine chest X-rays to illustrate the role AI can play in earlier lung cancer risk identification.”

The Qure.ai FDA-cleared lung cancer solutions can be deployed as individual products, or collectively as a suite for a unified and cohesive workflow. When deployed together, operational, clinical and economic advantages cascade downstream. From incidental detection of lung nodules on chest X-ray (qXR-LN), measurement and quantification on CT (qCT-LN Quant) through to patient management coordination (qTrack). The Qure.ai neurocritical solution (qER) triages emergency findings to support faster interventions and care.

Peter Durlach, Corporate VP and Chief Strategy Officer, Microsoft Health and Life Sciences, said, “The integration of Qure.ai’s AI solutions into the Precision Imaging Network will help health systems unlock new levels of efficiency - from faster detection and diagnosis to more coordinated multidisciplinary care. This collaboration reflects Microsoft’s commitment to empowering healthcare organisations with secure, scalable cloud AI solutions that enable earlier interventions, improved patient outcomes, and drive sustainable transformation across the continuum of care.”