New research from the Myasthenia Gravis Rare Disease Network (MGNet). This summary is based on a paper published in the journal Muscle & Nerve on November 20, 2025, titled "Building a Quantitative Telemedicine Platform for Myasthenia Gravis: Augmenting the Physical Examination."

Read the paper here.

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Transcript:

Myasthenia gravis (MG) is a neuromuscular disorder caused by an autoimmune response which blocks or damages acetylcholine receptors in muscles, causing disabling weakness. Detailed physical examinations are required to help understand the fluctuation of symptoms, presenting unique challenges for remote assessment.

In this study, researchers review how they built a quantitative telemedicine platform for evaluation of patients with MG. The platform augments traditional neurological assessments using computer vision, signal processing, and augmented intelligence. To develop the technology, the team used video examinations of 52 patients with MG recorded twice, applying machine learning algorithms to extract clinically relevant features from video and audio data.

Results revealed that variations in examiner instructions and video quality significantly affect reliability. Authors note that a digital examination framework can enhance MG assessment precision, reduce variability in physical examination evaluation, and support the telemedicine examination.