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• W4367297214 abstract "<h3>Objective:</h3> Here we assessed whether quantification of videotaped assessment of the MG-CE could be done using novel image processing techniques. <h3>Background:</h3> The Myasthenia Gravis (MG) Core Exam (MG-CE) was developed to assist neurologists during telemedicine examination for patients with MG and consists of eight core elements that can be performed over video conferencing. However, much like in-person exams, they remain subjective to the interpretation and experience of the examiner. <h3>Design/Methods:</h3> We utilized video recordings of the ADAPT teleMG study (NINDS U54 NS115054) performed at George Washington University. Seven subjects underwent video examinations on two occasions 2–3 days apart and had a standardized examination recorded and videos analyzed using image-processing techniques. <h3>Results:</h3> We used a combination of artificial intelligence and signal processing algorithms to compute automatically the main geometric metrics: (i) eyelid drop, (ii) misalignment of eyes that can lead to double vision, (iii) cheek deformation in the cheek puff and tongue to cheek test, variation of extended arm position and sit to stand trajectory and velocity during the corresponding physical tests. These metrics provide reproductible and unbiased scores for each of the component of the MG-CE. We obtained in addition the time dependency of these muscle weakness metrics, which is a new outcome of the digitalization. <h3>Conclusions:</h3> With very promising results on eye tracking and pose detection, our method can provide objective and reproductible assessments. However, some exercises’ protocol are not fitting the robustness of our new metrics and should be revisited. As a matter of fact, the time dynamic component of muscle weakness seems an important factor in the evaluation of the symptoms. We envision that our telehealth approach can be applied to other neuromuscular diseases and will be providing quantitative metrics that goes beyond in an in-person visit. <b>Disclosure:</b> Prof. Garbey has stock in Care Constitution, LLC. Prof. Garbey has a non-compensated relationship as a CEO with Care Constitution, LLC that is relevant to AAN interests or activities. Dr. Joerger has nothing to disclose. Mr. Lesport has nothing to disclose. Helen Girma has nothing to disclose. Ms. McNett has nothing to disclose. Dr. Abu-Rub has nothing to disclose. The institution of Dr. Kaminski has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Roche. Dr. Kaminski has received personal compensation in the range of $500-$4,999 for serving as a Consultant for UCB. Dr. Kaminski has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Cabaletta Bio. Dr. Kaminski has stock in ARC Biotechnology. The institution of Dr. Kaminski has received research support from National Institutes of Health. Dr. Kaminski has received publishing royalties from a publication relating to health care." @default.
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• W4367297214 date "2023-04-25" @default.
• W4367297214 modified "2023-09-30" @default.
• W4367297214 title "A Quantifiable Telemedicine Approach to the Myasthenia Gravis Neurological Exam (P7-8.008)" @default.
• W4367297214 doi "https://doi.org/10.1212/wnl.0000000000203761" @default.
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