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MedTech Outlook | Tuesday, May 30, 2023
MSKai reveals Lumbar Spine MRI segmentation and measurement algorithm while applying for a patent.
FREMONT, CA: "Artificial Intelligence is rapidly integrating into healthcare," said Adam Bruggeman, MD, chief medical officer of MSKai. "The ability to accurately and consistently identify and measure spine anatomy will lead to further efficiencies for patients and providers in the practice of spine surgery."
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An Artificial Intelligence-based radiological assist software provider, MSKai, reveals their new Lumbar Spine MRI segmentation and measurement algorithm. Their new release is succeeded by their submission of a United States Provisional Patent application for Systems and Methods for Improving Patient Outcomes for Musculoskeletal Care. MSKai, LLC creates artificial intelligence (AI) based technology to enable patient pre-surgery authorizations, enhance patient care, and enhance surgical results. The currently available software quickly and accurately measures, quantifies, and categorizes spinal diseases and architecture.
The software allows spine care practitioners to identify, measure, and classify spine anatomy and pathologies quantitatively and qualitatively within seconds using a radiological assist system for evaluating Lumbar Spine pathologies. Machine learning algorithms provide anatomical segmentation, measurements, pathology classification, and alerts on range thresholds.
413 patient MRI data were used to validate MSKais Lumbar Spine MRI segmentation and quantification. When comparing ground truth data from six independent medical and biomechanical specialists, the measurement and segmentation accuracy range from 76 to 90 percent. The segmentation and measuring technique that is now in use serve as the foundation for developing machine learning-based radiological assistance systems that will eventually be incorporated into clinical practice.
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