Abstract: Due to the precautions put in place during the COVID-19 pandemic, utilization of telemedicine has increased quickly for patient care and clinical trials. Unfortunately, teleconsultation is closer to a video conference than a medical consultation with the current solutions setting the patient and doctor into a discussion that relies entirely on a two-dimensional view of each other. A telehealth platform is augmented by a digital twin of the patient that assists with diagnostic testing of ocular manifestations of myasthenia gravis. A hybrid algorithm combines deep learning with computer vision to give quantitative metrics of ptosis and ocular muscle fatigue leading to eyelid droop and diplopia. The system works both on a fixed image and video in real time allowing capture of the dynamic muscular weakness during the examination.