FDA Radiology AI Devices

Discover FDA-cleared medical imaging AI devices with clean summaries, company insights, and linked references. We help you quickly understand what's approved, who built it, and how it fits into the evolving landscape of radiology AI.

syngo.CT Lung CAD (Version VD30) is a computer-aided detection tool developed by Siemens Healthcare GmbH to help radiologists identify solid and subsolid pulmonary nodules in chest CT scans. The software highlights regions that might be overlooked, improving the accuracy and efficiency of lung nodule detection during radiological review. It can operate as a first or second reader and includes a mode to filter out subsolid and fully calcified nodules for focused analysis.

FDA #
K231157
Product Code
OEB

The syngo.CT Lung CAD by Siemens Healthcare GmbH is a software tool designed to assist radiologists in detecting solid and subsolid lung nodules on chest CT scans. It uses advanced AI algorithms based on convolutional neural networks to highlight suspicious areas, reducing the chance of missed nodules. The software integrates with existing medical imaging platforms, improving clinicians' efficiency and accuracy in lung nodule detection, a critical task in lung cancer screening and diagnosis.

FDA #
K203258
Product Code
OEB
Page 1 of 12 results
1

Ready to Sharpen Your Edge?

Join hundreds of your peers who rely on RadAI Slice. Get the essential weekly briefing that empowers you to navigate the future of radiology.

We respect your privacy. Unsubscribe at any time.