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AI-Rad Companion

AI-powered assistants for medical imaging interpretation.

Snapshot of AI-Rad Companion
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A family of AI tools that automatically highlight and quantify findings on CT, MRI, and X-ray scans, such as lung nodules, organ volumes, and coronary plaque.

PROS

  • + Significantly reduces repetitive tasks like manual segmentation and measurement
  • + easing daily workload
  • + Increases diagnostic precision and reporting accuracy by providing automated
  • + evidence-based results
  • + Seamlessly integrates into existing image interpretation workflows (PACS) and delivers DICOM structured reports
  • + Deployed via a scalable
  • + cloud-based platform (teamplay) ensuring regular algorithm updates
  • + Provides valuable clinical knowledge
  • + such as heart volume
  • + from routine imaging studies

CONS

  • - Requires a subscription model typically based on the number of analyses
  • - which can be a high operational cost
  • - Results are decision support and still require final review and confirmation by a physician
  • - As a cloud-based solution
  • - requires robust internet and IT infrastructure for optimal deployment
  • Automatic recognition and quantification of coronary calcium on routine Chest CT scans
  • Detection
  • highlighting
  • and measurement of lung nodules
  • including volume and tumor burden
  • Volumetric quantification of brain segments on MR scans for early neurodegenerative disease detection
  • Automatic segmentation and contouring of organs-at-risk (OARs) for radiation therapy planning

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