Register Now: Image-Based Risk: The Next Frontier in Breast Cancer Screening
Logo Image
News|Articles|January 9, 2024

FDA Clears AI Software for Enhanced Lung Nodule Detection on Chest X-Rays

Author(s)Jeff Hall

Tailored for incidental findings on chest radiographs, the qXR for Lung Nodule (qXR-LN) software utilizes artificial intelligence (AI) to help detect suspected pulmonary nodules ranging between 6 to 30 mm.

The Food and Drug Administration (FDA) has granted 510(k) clearance for the artificial intelligence (AI)-enabled qXR for Lung Nodule (qXR-LN) software, which may enhance detection of pulmonary nodules on chest X-rays.

Qure.ai, the developer of the software, said qXR-LN detects and highlights regions of suspected pulmonary nodules, ranging between 6 to 30 mm in size. Geared to diagnosing incidental findings on chest radiographs, the AI software can also be utilized as a second reader in the review of AP and PA chest radiographs, according to Qure.ai.

The company noted that one multicenter study, involving 40 sites, revealed a 94 percent AUC for qXR-LN in stand-alone detection of lung nodule detection.

“Solutions like Qure.ai's qXR-LN are a significant step towards establishing new possibilities in pulmonary imaging, particularly within oncology. The need for early-stage lung cancer detection is crucial, and tools like qXR-LN can play a significant role in the early detection of incidental nodules,” noted Vishisht Mehta, M.D., F.C.C.P., the Director of Interventional Pulmonology at the Lung Center of Nevada in Las Vegas.

Related to this article

View more
Key Sessions of Interest for Radiologists at the Upcoming HLTH USA Conference
Key Sessions of Interest for Radiologists at the Upcoming HLTH USA Conference
How will generative AI software be evaluated by the FDA in the future? What’s next for point-of-care ultrasound? What steps have been successful in facilitating adoption of AI applications across enterprise systems? Leaders in radiology and health care will be discussing these topics and more at the upcoming HLTH USA conference.
Read more
Current Perspectives on Integrating AI into Radiology
Current Perspectives on Integrating AI into Radiology
In a recent interview with Diagnostic Imaging, Joseph Cavallo, MD, MBA, offered insights on post-deployment monitoring with AI, the potential for improved workflow efficiency and the ongoing challenge of balancing essential clinical skills and AI literacy in the training of radiology residents and fellows.
Read more