Competency: MSKai specializes in utilizing artificial intelligence and machine learning for the analysis of multi-modality imaging.

We partner with industry leaders to introduce and commercialize our innovation to efficiently optimize the use of medical imaging.

Mission

Mission

PROVIDE accurate, consistent, and unbiased results via transparent musculoskeletal analysis.
FACILITATE timely high-quality care with optimized outcomes for patients.
ENABLE primary stakeholders’ vision for pre-eminent musculoskeletal care.

Vision

Vision

To employ data, analysis, and artificial intelligence to remove all barriers that limit prioritizing patient outcomes in musculoskeletal care.

MSkai System

System Views
All Patient – List
All patients being treated under a practitioner are housed in a single library. Patient imaging is manually or automatically uploaded to the library.
Ai Specific Patient – List
Within each patient listed in the library, a complete list of patient specific imaging series across modalities is presented.
General – View
Studies load into a standard MRI viewer presents the image series in a dynamic viewer. Overall measurement categories are presented in a qualitative view in the left panel.
Ai Herniation – View
Ai generated segmentation and measurements are overlaid on the dynamic MRI viewer. Quantitative measurements are presented in tabular form in the measurement overview panel.
Ai Spondy – View
Ai generated segmentation and measurements are overlaid on the dynamic MRI viewer. Quantitative measurements are presented in tabular form in the measurement overview panel.
Report – View
Report provides an automatic level by level quantitative measurement output based on predetermined threshold language. Manual physician input is available for impressions and commitment. A detailed report with all imagining with ai segmentation and measurements, or a summary report without images are available for download in PDF form.