Azra AI Expands Innovative Incidental Findings Technology to Help Clinicians Identify More Cancers

Azra AI’s proprietary software — which uses artificial intelligence (AI) and natural language processing to identify incidental lung nodules in medical reports — is expanding to include liver, kidney and adrenal, pancreatic and ovarian cancers, and aneurysms.

Now in use in more than 200 medical systems and hospitals across the country, Azra AI’s technology helps clinicians and medical teams identify suspicious findings that could lead to an earlier cancer diagnosis for patients, where treatment options allow patients to potentially be cured. These findings are detected in patients that receive imaging primarily for other healthcare illnesses or conditions, which explains the term “incidental.” Azra AI’s technology identifies cancers that often have no symptoms until the cancer is late-stage.

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Azra AI’s platform is expanding to identify liver, kidney and adrenal, pancreatic and ovarian cancers, and aneurysms.

A ground-breaking study of 1,000 computed tomography (CT) scans ordered by emergency room clinicians — led by researchers at the University of Utah School of Medicine — found that follow-up for incidental lung nodules was 29%, a poor overall rate. Researchers said that these rates remain low, even when there are specific instructions for patients to follow up. Up to 80% of lung nodules are found incidentally, and nearly a quarter of those nodules are malignant.

Chris Cashwell, CEO of Azra AI, said the expanded platform will positively affect more peoples’ lives.

“With this larger scope of incidental findings, our technology will help physicians, navigators, and care teams identify potential cancers sooner at a critical juncture,” he said. “Health equity is an important priority for health systems and targeting incidental findings is an excellent way to impact the quality and consistency of care for patients. We are proud to partner with some of the leading healthcare systems across the country that use the technology, including HCA Healthcare and University of Pennsylvania Health System. ”

Detecting ovarian and other cancers as soon as possible is critical, making Azra AI’s technology all the more important for medical systems, hospitals, and their patients.

Women with ovarian cancer typically present with symptoms easily mistaken for other, more common conditions, including constipation or a urinary tract infection. Five-year survival rates for certain ovarian cancers are relatively low, underscoring the importance of early detection. What’s more, there is a dramatic decrease in survival from 93% in early-stage detection to less than 30% when the cancer has metastasized.

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