AI4MedImaging AI4CMR

AI4CMR uses artificial intelligence to automatically segment and quantify cardiac MRI measurements.

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Overview

Cardiac Magnetic Resonance (CMR) Cine images quantification and analysis are time-consuming and subjective tasks. Current clinical workflows may not optimized, lacking integration, which deepens these shortcomings.
 
AI4CMR automates these tasks through AI, aiming to boost productivity.
ai4cmr

Features

  • Automated cardiac segmentation for volume quantification (CE marked and FDA cleared).
  • Automated classification of normal and suspect cases regarding wall motion (CE marked only).
  • Integrates with existing systems in the clinical workflow (such as PACS, VNA systems) via standard DICOM communication.

Benefits

  • Potential to save time with automatic segmentation while manual segmentation can take 45-60 minutes.
  • 100% sensitivity for wall motion classification.¹ (CE marked feature, FDA-pending)
  • AI4MedImaging has developed a clinically applied ROI calculator that can show you the return on investment your organization can expect by using AI4CMR (USA-based). Book a meeting with your friendly Blackford team below to find out more.

Image examples

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If you’re interested in learning more about this solution, or the 100+ other applications we have available on Blackford platform book a call with our friendly team now!

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We’d welcome the opportunity to learn more about your AI needs and to explain how partnering with Blackford can drive efficiency and provide ongoing value.

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¹Costa E, Barros C, Pinto A, Martins N, Tondi L, Pica S, et al. Clinical validation of a fully automated framework for ventricular segmentation and wall motion classification from cine CMR. 2022 Aug 17

 

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