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ClariCT.AI, is a software device intended for networking, communication, processing and enhancement of CT images in DICOM format regardless of the manufacturer of CT scanner or model. The original cleared device (K183460) is a software application to denoise on CT images, integrated with the clinical environment through DICOM communication on an on-premise environment, and runs under Microsoft Windows platform. The device consists of Denoise Processing module that denoises CT images and other modules (Window application module) that provide many features such as handling DICOM connection from/to PACS, user interface, worklist management and viewer. The subject device, ClariCT.AI, added a new module (named AI Marketplace Integration module) to the original cleared device (K183460) to enable installation on the AI Marketplace system. The module integrates the Denoising Processor of original device into the AI Marketplace system. ClariCT.AI, consists only of the AI Marketplace Integration Module and the Denoising Processor, can be installed in the AI Marketplace system that integrates centrally with PACS and seamlessly integrates into the existing IT and modality infrastructure. An AI Marketplace system, which can be integrated with the ClariCT.AI, is a cloud-based AI platform service that connects end users (e.g. hospitals, imaging centers) and AI medical imaging applications developed by third parties. These AI Marketplace systems provide many features such as handling DICOM connection from/to PACS, user interface, authentication, worklist control, and orchestrating third party AI applications. With the newly added module, ClariCT.AI will function as a software device integrated with such system, and therefore the responsibility of our software is bound to change so as to take care of only essential functionality such as denoising process and system interface.

Annalise Triage is a medical device software application which uses artificial intelligence (AI) algorithms to prioritize suggested findings within a clinical triage workflow of radiological imaging studies.

Annalise Enterprise is a medical device software application which uses artificial intelligence (AI) algorithms to prioritize suggested findings within a clinical triage workflow of radiological imaging studies.

Annalise Enterprise is a medical device software application which uses artificial intelligence (AI) algorithms to prioritize suggested findings within a clinical triage workflow of radiological imaging studies.

PYLARIFY AI is intended to be used by healthcare professionals and researchers for acceptance, transfer, storage, image display, manipulation, quantification and reporting of digital medical images. The system is intended to be used with images acquired using nuclear medicine (NM) imaging, using PSMA PET/CT. The device provides general Picture Archiving and Communications System (PACS) tools as well as a clinical application for oncology including marking of regions of interest and quantitative analysis.

cmAngio is intended to process screening mammograms to aid a qualified interpreting physician in the current manual process of identifying Breast Arterial Calcification (BAC). cmAngio, a proprietary artificial intelligence (AI) based software, is intended to detect, at the study and breast level, the presence or absence of Breast Arterial Calcifications (BAC), an incidental finding in both Full Field Digital Mammogram (FFDM) and Digital Breast Tomosynthesis (DBT) screening mammograms. The device also marks BAC segments on thumbnails of images for localization of BAC. The software is intended to be used by qualified interpreting physicians in parallel with breast screening mammography workflow. The device is not intended for primary interpretation of digital mammography images as used for breast cancer detection. The device results should not be used alone to make any diagnosis and/or treatment decisions.

cmAngio is intended to process screening mammograms to aid a qualified interpreting physician in the current manual process of identifying Breast Arterial Calcification (BAC). cmAngio, a proprietary artificial intelligence (AI) based software, is intended to detect, at the study and breast level, the presence or absence of Breast Arterial Calcifications (BAC), an incidental finding in both Full Field Digital Mammogram (FFDM) and Digital Breast Tomosynthesis (DBT) screening mammograms. The device also marks BAC segments on thumbnails of images for localization of BAC. The software is intended to be used by qualified interpreting physicians in parallel with breast screening mammography workflow. The device is not intended for primary interpretation of digital mammography images as used for breast cancer detection and should not be used alone to make any diagnosis and/or treatment decisions. cmAngio is for prescription use only.

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