Application of Digital Tools and Artificial Intelligence to the Myasthenia Gravis Core Examination.
Marc GarbeyQuentin LesportHelen GirmaGülṣen ÖztosenMohammed Abu-RubAmanda C GuidonVern JuelRichard NowakBetty SolivenInmaculada AbanHenry J KaminskiPublished in: medRxiv : the preprint server for health sciences (2024)
Advances in video image analysis and artificial intelligence provide the opportunity to transform the approach to patient evaluation. Here, we asked whether video recordings of the typical telemedicine examination for the patient with myasthenia gravis be used to quantitate examination findings? Despite recordings not made for purpose, we were able to develop and apply computer vision and artificial intelligence to Zoom recorded videos to successfully quantitate eye muscle, facial muscle, and limb fatigue. The analysis also pointed out limitations of human assessments of bulbar and respiratory assessments. The neuromuscular examination can be enhanced by advance technologies, which have the promise to improve clinical trial outcome measures as well as standard care.
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