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.

The CLEWICU System is a software platform that uses AI machine learning models to predict the likelihood of future hemodynamic instability in adult patients in various hospital critical care units. It integrates patient data from electronic health records and monitoring devices to help clinicians assess a patient's risk of clinical deterioration or stability, providing valuable physiological insights as an aid to clinical judgment.

FDA #
K233216
Product Code
QNL

The Global Hypoperfusion Index (GHI) Algorithm is a software tool used on compatible advanced monitoring platforms to predict the risk of a global hypoperfusion event in surgical or non-surgical patients. It analyzes physiological data to provide clinicians with early warning of potential hemodynamic instability, helping to anticipate and manage patient deterioration in critical care settings.

FDA #
K231038
Product Code
QNL
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.