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Software that provides standardized metadata descriptions of diagnostic medical images. It uses proprietary natural language processing and computer vision algorithms to analyze DICOM images and metadata to identify key attributes of radiological examinations and series.

Standardize is software that provides standardized metadata descriptions of diagnostic medical images. It uses proprietary natural language processing and computer vision algorithms to analyze DICOM images and metadata to identify key attributes of radiological examinations and series.

The Curie product is a software platform that hosts applications related to various healthcare workflows, contains basic functionality such as user access and security, and allows for integrations with other devices such as third-party PACs systems.

InView automatically categorizes adult Transthoracic Echo (TTE) images by view/modality, reorganizes images according to relevant categorical attributes, and syncs all related views for current and prior studies.

VirtuOst VFA uses sagittal sections from a spine-containing CT scan, with or without contrast enhancement, to visualize and measure vertebral deformities, classify the type and grade of any existing vertebral fracture, and from this identify patients at high risk of a future osteoporosis-related fracture. This information can be interpreted by a physician to diagnose existing vertebral fractures and to manage patients for osteoporosis.

VirtuOst uses data from computed tomography scans to estimate bone mineral density, bone strength, and a load-to-strength ratio. This information can be used by a physician to assess fracture risk, identify osteoporosis, and monitor therapy. For pediatric patients, VirtuOst provides these estimates without any classifications and should be used only when the benefit of obtaining these estimates outweighs the risk of radiation.

SubtleMR is an image processing software that can be used for image enhancement in MRI images. It can be used to reduce image noise for head, spine, neck, abdomen, pelvis, prostate, breast, and musculoskeletal regions of the body, or increase image sharpness for head MRI.

SubtlePET is an image processing software intended for use by radiologists and nuclear medicine physicians for transfer, storage, and noise reduction of fluorodeoxyglucose (FDG), amyloid, 18F-DOPA, 18F-DCFPyL, Ga-68 Dotatate, and Ga-68 PSMA radiotracer PET images (including PET/CT and PET/MRI).

RSI-MRI+ is standalone software that is used by radiologists, urologists, and other clinicians to assist with analysis and interpretation of medical images. RSI-MRI+ accepts DICOM images using supported protocols and performs automatic post-acquisition analysis of diffusion-weighted magnetic resonance imaging (DWI) data and optional automated fusion of derived image data with anatomical T2-weighted MR images. Some of the features of RSI-MRI+ include: • Restricted Signal Map: The derived image data produced by RSI-MRI+ includes an enhanced DWI map (the Restricted Signal Map), which demonstrates improved conspicuity of restricted diffusion compared to standard DWI maps. • Color Fusion Series: RSI-MRI+ can be configured to produce a color fusion series which overlays the Restricted Signal Map intensity onto the anatomical T2-weighted image series. • Automated Prostate Segmentation: RSI-MRI+ uses artificial intelligence (AI) powered by a deep learning algorithm to automatically segment the prostate on anatomical T2-weighted images. The segmentation result is provided in the separate Prostate Segmentation Series. • Automated Segmentation Report: RSI-MRI+ generates a report of segmentation volume and images of the segmented prostate as a colored outline on the anatomical image. • Export: RSI-MRI+ outputs are provided in standard DICOM format, which is compatible with most third-party commercial PACS workstation software. NOTE: The RSI-MRI+ supported protocols differ from PI-RADS v2.1 in that they have lower inplane resolution for T2W images and thicker slices for the GE DW

CT CoPilot is intended for use in automating post-acquisition quantitative analysis of CT images of the brain for patients aged 18 or older. CT CoPilot performs automatic reformatting, labeling and quantification of segmentable structures from a set of CT images of the brain. Output of the software provides these values as numerical volumes and images which have been annotated with graphical color overlays, with each color representing a specific brain structure. When CT imaging is performed more than once on a patient, the current data is co-registered to the most recently processed prior exam of the same patient, facilitating comparison between the studies using CT CoPilot. Voxel-by-voxel subtraction maps of the pixel density change in Hounsfield Units (HU) are generated in up to 3 dimensions between the current and most recent processed prior exam of the patient.