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FDA Clears AI Software for Enhanced Lung Nodule Detection on Chest X-Rays
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.
Study Assesses Potential of Seven-Minute AI-Enhanced 3T MRI of the Shoulder
February 20th 2025Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
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