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.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.