New AI-Based Image Analysis Platform Enables Physicians to Analyze CT and MRI Scans in Half the Time of Traditional Methods

The AI Metrics platform utilizes AI-assisted workflows to improve accuracy and consistency, and dramatically reduce errors.

The first application on AI Mass assists radiologists with image analysis and reporting of advanced cancer over time. During clinical trials for novel therapeutics, a patient’s response to therapy is assessed over time using detailed criteria. Such criteria require highly-controlled tumor measurements and calculations of percent changes in tumor size. In clinical practice, assessments are more subjective and lack standardization due to time constraints placed upon physicians.

“Our goal was to design a simple, intuitive platform in which radiologists could assess medical images from patients with minimal errors and a high level of accuracy, consistency, and efficiency,” said Dr. Andrew Smith, CEO and Founder of AI Metrics. “To do this, we had to break free from outdated methods and create an entirely new image viewer that supports AI and best-practice workflows that generate crystal clear data and reports. We started with advanced cancer and lymphoma, and are now broadening our platform to include early-stage cancers.”

“We solved the efficiency and standardization with a combination of AI and guided workflows that capture the best aspects of clinical trials and bring them into clinical practice,” added Smith. “This advanced technology completely changes the standard of care - for radiologists, oncologists and patients. As a practicing radiologist and researcher, I’ve envisioned for some time being able to use a system like this, and I am excited to see years of design work finally materialize into an incredible product.”

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