Application of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination.

ABSTRACT:

Background

Advances in video image analysis and artificial intelligence provide opportunities to transform how patients are evaluated. In this study, we assessed the ability to quantify Zoom video recordings of a standardized neurological examination- the Myasthenia Gravis Core Examination (MG-CE)-designed for telemedicine evaluations.

Methods

We used Zoom (Zoom Video Communications) videos of patients with myasthenia gravis (MG) who underwent the MG-CE. Computer vision, in combination with artificial intelligence methods, was used to develop algorithms to analyze the videos, with a focus on eye and body motions. To assess the examinations involving vocalization, signal processing methods, such as natural language processing (NLP), were developed. A series of algorithms were

SUBMITTER: Garbey M 

PROVIDER: S-EPMC11652356 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature