Application of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination
Several aspects of the MG-CE can be quantified to produce continuous measurements using standard Zoom video recordings. Further development of the technology will enable trained non-physician healthcare providers to conduct precise examinations of patients with MG outside of conventional clinical settings, including for the purpose of clinical trials.
Authors
- Quentin Lesport (ORCID: https://orcid.org/0009-0009-0039-7064)
- Inmaculada Aban (ORCID: https://orcid.org/0000-0002-0563-1691)
- Helen Girma (ORCID: https://orcid.org/0000-0002-3235-9216)
- Gülşen Öztosun (ORCID: https://orcid.org/0000-0002-1638-9095)
- Amanda C. Guidon (ORCID: https://orcid.org/0000-0003-0843-2935)
- Henry J. Kaminski (ORCID: https://orcid.org/0000-0002-8195-0141)
- Richard J. Nowak (ORCID: https://orcid.org/0000-0001-8438-482X)
- Marc Garbey (ORCID: https://orcid.org/0000-0001-7898-9136)
- Vern C. Juel (ORCID: https://orcid.org/0000-0002-2917-2995)
- Mohammed Abu-Rub
- Betty Soliven
Institutions
- Centre National de la Recherche Scientifique (FR)
- Harvard University (US)
- Duke University (US)
- George Washington University (US)
- University of Alabama at Birmingham (US)
- Yale University (US)
- University of Chicago (US)
- Massachusetts General Hospital (US)
- Laboratoire des Sciences de l'Ingénieur pour l'Environnement (FR)
- La Rochelle Université (FR)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2024-12-04
- DOI
- https://doi.org/10.3389/fneur.2024.1474884
- Citations
- 10
- Primary Topic
- Myasthenia Gravis and Thymoma
- Type
- article
- Field-Weighted Citation Impact
- 3.69