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How Horizon Health and Qure.ai Are Using AI to Catch “Incidental” Lung Cancer

The Owner Press by The Owner Press
December 17, 2025
in Newswire
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How Horizon Health and Qure.ai Are Using AI to Catch "Incidental" Lung Cancer

What You Ought to Know: 

– Horizon Health Network, working throughout New Brunswick, Canada, has partnered with international well being tech chief Qure.ai to implement a complete AI suite for lung most cancers care. 

– The strategic collaboration is designed to organize the well being system for a province-wide screening program whereas concurrently deploying AI to detect “incidental” lung nodules in routine X-rays and CT scans. By integrating instruments for detection, quantification, and affected person monitoring, the initiative goals to catch lung most cancers at Stage I, considerably boosting survival charges.

Bettering Survival Charges: Horizon Well being Prepares for Provincial Screening with Qure.ai’s Class III Medical AI

Lung most cancers stays the main reason for most cancers dying in North America, a statistic pushed largely by the stealthy nature of the illness; by the point signs seem, it’s typically too late. At present, Horizon Well being Community (Horizon) introduced a strategic transfer to shift these odds, getting into a partnership with Qure.ai to deploy an end-to-end Synthetic Intelligence (AI) suite throughout its 12 hospitals and 100+ medical services in New Brunswick.

This partnership will not be merely a software program improve; it’s a elementary restructuring of how a well being system watches over its sufferers. By integrating Qure.ai’s options, Horizon is constructing the digital infrastructure mandatory for a large, province-wide low-dose CT lung most cancers screening program, whereas concurrently addressing the crucial hole of “incidental” detection.

Past the Screening Program: The Energy of Incidental Findings

Whereas organized screening applications are very important for high-risk sufferers (comparable to long-term people who smoke), they solely cowl a particular slice of the inhabitants. The true technological differentiator on this partnership is the flexibility to make use of AI to patrol the 1000’s of routine scans carried out for different causes.

Jim Mercadante, Chief Industrial Officer at Qure.ai, describes this as “casting a wider web.”

“Proactive CT-based lung most cancers screening methods are a large step ahead, however just one a part of the battle towards lung most cancers,” says Mercadante. “AI has the ability… to determine small lung nodules that may be indicative of early-stage lung most cancers on routine CT and X-rays which may be obtained for different indications. This will embody pre-operative examinations or trauma-related admissions.”

In layman’s phrases: a affected person may enter the ER with a damaged rib or pneumonia. The AI analyzes their chest X-ray for the trauma however additionally quietly scans for lung nodules {that a} human radiologist, centered on the bone fracture, may overlook. This “incidental” detection can determine most cancers at Stage I, the place survival charges are exponentially greater than at Stage III or IV.

Constructing the Digital Infrastructure

For Zach Kilburn, Chief Digital Officer at Horizon Well being Community, the partnership is about establishing scientific confidence and workflow functionality earlier than the floodgates of a provincial screening program open.

“This settlement with Qure.ai displays our dedication to innovation and advancing affected person care by means of rigorous analysis of rising applied sciences,” Kilburn acknowledged. “By constructing this infrastructure now, we’re positioning our clinicians to help high-quality, coordinated lung most cancers care throughout the well being care ecosystem.”

The combination entails a classy suite of instruments which have garnered Well being Canada Class III medical machine license approval and FDA clearance. The suite addresses three distinct phases of the care continuum:

  1. Detection (qXR-LN): Figuring out incidental nodules on normal chest X-rays.
  2. Quantification (qCT-Quant): Assessing the amount and dimension of nodules on CT scans to find out danger.
  3. Administration (qTrack): A workflow device that ensures sufferers with recognized nodules don’t fall by means of the cracks, coordinating take care of nurse navigators and lung nodule clinics.



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