Medscape11d
Novel Artificial Intelligence System Boosts Detection of Airway Nodules on Chest CT Scans
Researchers retrospectively analysed a dataset of 320 chest and chest-abdomen CT scans, including patients with airway nodules (n = 160; median age, 64 years; 58 women) and those without airway ...
Business Insider21d
F.A.S.T.® aiCockpit® CT Lung Nodule Software Receives FDA 510(k) Clearance
F.A.S.T. aiCockpit CT Lung Nodule is an application that allows radiologists to efficiently visualize, navigate, edit and accept/reject lung nodule detection algorithm results. FDA Cleared 510(k ...
Medical Xpress12d
Ultra-low-dose CT can diagnose pneumonia in immunocompromised patients while using far less radiation
Nodules were also more easily identified on the denoised scans ... More information: Denoised Ultra-Low-Dose Chest CT to ...
EurekAlert!12d
Ultra-low dose CT aids pneumonia diagnosis in immunocompromised patients
Denoised ultra-low dose CT can effectively diagnose pneumonia in immunocompromised patients using only 2% of the radiation ...
Healthcare in Europe10d
Pneumonia diagnosis: deep learning takes the grain out of ultra-low dose CT
Denoised ultra-low dose CT can effectively diagnose pneumonia in immunocompromised patients using only 2% of the radiation ...
Morningstar5d
Case Study: bioAffinity Technologies’ Positive CyPath® Lung Result Leads to Detecting Breast Cancer Recurrence
A routine low-dose CT scan detected indeterminate nodules, including an eight-millimeter non-calcified nodule in her left upper lung lobe. “Given her risk factors and the fact that I’ve been ...
Yahoo Finance21d
F.A.S.T.® aiCockpit® CT Lung Nodule Software Receives FDA 510(k) Clearance
FDA Cleared 510(k) F.A.S.T.® aiCockpit® CT Lung Nodule Software Now Available for PACS, Universal Viewers, Reporting Systems, and AI Vendors, Orchestrators, and Platforms PACS, Universal Viewers ...
WTNH21d
F.A.S.T.® aiCockpit® CT Lung Nodule Software Receives FDA 510(k) Clearance
F.A.S.T. aiCockpit CT Lung Nodule provides radiologists a powerful tool for reviewing AI-driven radiology findings that both accelerates case times and expedites artificial intelligence ...