AI Metrics is a start-up company based in Birmingham, Alabama and founded by radiologist Dr. Andrew Smith.
To leverage artificial intelligence and innovative imaging software solutions to improve workflows, quantitative metrics, and reporting in clinical practice and clinical trials.
Globally transform medical imaging and redefine the standard of care by realizing the full potential of artificial intelligence in imaging metrics.
Current Technology Development
The AI Metrics image viewing platform leverages artificial intelligence and guided workflows to assist radiologists with image analysis and reporting by automatically generating multimedia reports.
Exciting new products and updates coming soon. Sign up for updates!
Liver Surface Nodularity
CT is used routinely in the diagnosis and management of chronic liver disease. As the disease progresses, bands of liver fibrosis form in reaction to chronic inflammation in the liver, transitioning over time into cirrhosis. With later stages of the disease, these changes in the liver can result in portal hypertension, associated side-effects, and eventually, to death. Improved staging of chronic liver disease is vital to choosing appropriate treatment plans and monitoring response in individual patients.
The appearance of liver surface nodularity on CT images is an important indicator of late-stage fibrosis and cirrhosis*, with increasing nodularity occurring with later stages of the disease. LSN helps standardize the evaluation of nodularity with interactive analysis tools and quantitative metrics, facilitating communications with colleagues and follow-up of a patient over time.
*ACR Appropriateness Criteria for Chronic Liver Disease
Potential Use Cases for LSN:
Staging liver fibrosis
Predicting clinically significant portal hypertension
Predicting liver decompensation
Predicting death from cirrhosis
Launches from OsiriX plugin menu
Familiar tools for selecting regions of nodularity
Guided workflow for streamlined analysis
Encapsulated PDF summary reports
The Liver Surface Nodularity (LSN) software is now available as an OsiriX MD plugin. The LSN plugin may be used with CT images from any scanner or vendor and is validated for a wide range of clinical protocols, including both non-enhanced and contrast-enhanced images.
The OsiriX LSN software is not yet available for clinical use outside of an IRB-approved research protocol. FDA submission is planned for early 2020.
AI Mass: Advanced Cancer Workflow
The advanced cancer workflow, AI Mass, leverages artificial intelligence and a guided workflow to assist radiologists with longitudinal evaluation of advanced cancer response to therapy.
Measure target lesions
Track response of non-target lesions
Track other image findings
Automatically generates reports that include a graph, table, key images, and structure text
Automatic calculation of tumor burden, percent change in tumor burden, and disease response
Adheres to tumor response assessment criteria, RECIST 1.1 (others coming soon)
Freeform workflow option