Intended Use

AI-Rad Companion (Pulmonary) is image processing software that provides quantitative and qualitative analysis from previously acquired Computed Tomography DICOM images to support radiologists and physicians from emergency medicine, specialty care, urgent care, and general practice in the evaluation and assessment of disease of the lungs. It provides segmentation and measurement of complete lung and lung lobes, identification of areas with lower Hounsfield values, interface to syngo.CT Lung CAD, and segmentation and measurements of found lung lesions with lobe dedication.

Technology

The software is a CT image processing application that uses deep learning algorithms for segmentation of lung lobes and lesions, identifies lung parenchyma areas below -950 HU, and measures volumes and lesion parameters. It integrates with external CAD systems (syngo.CT Lung CAD) and supports data from multiple CT vendors including Siemens, GE, and Philips. Visualization is provided via color overlays on multiplanar reconstructions and volume rendered images.

Performance

The device underwent software validation, bench testing, and clinical data-based software validations demonstrating substantial equivalence to predicate devices. A large retrospective study (>4500 CT data sets) validated lung lobe segmentation with high Dice coefficients (0.95-0.98), low mean surface distances, and small volume errors. All performance results exceeded those of predicate devices. Risk management, cybersecurity, and usability validations were also conducted.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    11/23/2018

    8 months
  • 2

    FDA Approval

    7/26/2019

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