A retrospective study published in PLOS ONE validated MEDIP PRO's ability to segment orbital structures on CT imaging to assess Thyroid Eye Disease (TED) activity. The software was used to perform semi-automatic segmentation of extraocular muscles, intraorbital fat, and lacrimal glands. The resulting quantitative metrics successfully differentiated active from inactive TED, demonstrating an area under the curve (AUC) of 0.938 when combined with clinical parameters.
Our readPublished validation provides concrete evidence of the platform's segmentation accuracy and reliability for complex orbital anatomy. Health systems evaluating the solution can point to this study as proof of its capability to extract clinically meaningful, disease-specific biomarkers from routine imaging.