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.

Abstract: The present invention relates to a means of reducing exposure to aerosolized particulate pathogens thereby (1) safely increasing throughput, (2) increasing surgical flow rates and (3) improving surgical suite turnover times (i.e., limiting non-productive facility space utilization) through air quality monitoring, generally. Further, the present invention couples air quality sensors with real-time processing technology by combining algorithmic enabled and mechanical means of lowering risk levels of both patients, medical professionals and ancillary staff alike.

Abstract: A system for evaluating simulation-based medical training of a user, the simulation-based medical training being carried out using a simulator and including a medical procedure, the system including a user sensing module for acquiring a physiological signal of the user, a simulation data acquisition module configured to connect to the simulator and acquire data produced by the simulator, and a processing module configured to process the physiological signal of the user and the acquired data produced by the simulator, the processing including computing the value of a metric representative of the training of the user for the medical procedure, the metric being based at least on the physiological signal of the user and on the acquired data produced by the simulator, create a training evaluation report of the user, the training evaluation report including the value of the metric for the medical procedure.