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AI Metrics is a software solution intended to be used for viewing, manipulation, storage, annotation, analysis, and comparison of medical images from multiple imaging modalities and/or multiple time points. The application supports images and anatomical datasets, such as CT and MR. AI Metrics is a software only medical device to be deployed via internet software download and installed by trained AI Metrics technicians. AI Metrics enables visualization of information that would otherwise have to be visually compared disjointedly. AI Metrics provides analytical and workflow automation tools to help the user assess and document the extent of a disease and/or the response to therapy in accordance with user selected standards and assess changes in imaging findings over multiple time-points. Al Metrics supports the interpretation and evaluations and follow up documentation of findings within healthcare institutions, for example, in Radiology, Oncology, and other Medical Imaging environments. The product is intended to be used as a workflow automation tool by trained medical professionals. It is intended to provide image and related information that is interpreted by a trained professional but does not directly generate any diagnosis or potential findings. Note: The medical professional retains the ultimate responsibility for making the pertinent diagnosis based on their standard practices. Al Metrics is a complement to these standard procedures. Al Metrics is not to be used in mammography.

Al Metrics is a software based Picture Archiving and Communication System (PACS) used with general purpose computing hardware for the display and visualization of medical image data. It runs on either a native or a virtualized Linux platform. The application supports images and anatomical datasets, such as CT and MR. Al Metrics is designed as a workflow automation application with analytical tools to help the user assess, categorize and document the extent of a disease and/or tumor response to therapy in accordance with user selected standards (e.g. RECIST 1.1) and assess changes in imaging findings over multiple time-points. Al Metrics supports the interpretation and evaluation of examinations and follow up documentation of findings within healthcare institutions, for example, in Radiology, Oncology, and other Medical Imaging environments. Al Metrics functionality provides for communication, storage, processing, rendering, and display of DICOM compliant image data derived from various sources including anatomical datasets (e.g. CT, MRI), navigation through images, selection of regions of interest, generation of information from those regions, evaluation in accordance with user selected standards, and generation of a structured report. The user controls these functions with a system of interactive menus and semi-automated or manual workflow automation tools, including: - Manual annotation tools for users to select regions of interest (ROIs), ● - Semi-automatic lesion segmentation suggestions for user-selected ROIs, - Automatic measurement and display of long and short axis of segmented lesions, - . Automatic tabulation and summation of measurements, - Semi-automatic lesion labelling suggestions for anatomical location (organ, body region, . and laterality), - . Automatic calculation of quantitative and qualitative metrics using annotation data in accordance with the selected criteria, and - Automatic generation of a structured report that includes the annotation data and ● calculated quantitative and qualitative metrics presented in a graph, table, key images, and structured text report.