{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T13:31:07Z","timestamp":1787837467093,"version":"build-2784847793"},"reference-count":24,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T00:00:00Z","timestamp":1726790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"MGNet, a member of the Rare. Disease Clinical Research Network Consortium (RDCRN)","award":["NIH U54 NS115054"],"award-info":[{"award-number":["NIH U54 NS115054"]}]},{"name":"MGNet, a member of the Rare. Disease Clinical Research Network Consortium (RDCRN)","award":["47354\/1\/CCLS 91906F"],"award-info":[{"award-number":["47354\/1\/CCLS 91906F"]}]},{"name":"National Center for Advancing Translational Sciences (NCATS)","award":["NIH U54 NS115054"],"award-info":[{"award-number":["NIH U54 NS115054"]}]},{"name":"National Center for Advancing Translational Sciences (NCATS)","award":["47354\/1\/CCLS 91906F"],"award-info":[{"award-number":["47354\/1\/CCLS 91906F"]}]},{"name":"NSF I-Corp","award":["NIH U54 NS115054"],"award-info":[{"award-number":["NIH U54 NS115054"]}]},{"name":"NSF I-Corp","award":["47354\/1\/CCLS 91906F"],"award-info":[{"award-number":["47354\/1\/CCLS 91906F"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Bioengineering"],"abstract":"<jats:p>Telemedicine is now being used more frequently to evaluate patients with myasthenia gravis (MG). Assessing this condition involves clinical outcome measures, such as the standardized MG-ADL scale or the more complex MG-CE score obtained during clinical exams. However, human subjectivity limits the reliability of these examinations. We propose a set of AI-powered digital tools to improve scoring efficiency and quality using computer vision, deep learning, and natural language processing. This paper focuses on automating a standard telemedicine video by segmenting it into clips corresponding to the MG-CE assessment. This AI-powered solution offers a quantitative assessment of neurological deficits, improving upon subjective evaluations prone to examiner variability. It has the potential to enhance efficiency, patient participation in MG clinical trials, and broader applicability to various neurological diseases.<\/jats:p>","DOI":"10.3390\/bioengineering11090942","type":"journal-article","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T07:38:57Z","timestamp":1726817937000},"page":"942","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["AI-Powered Telemedicine for Automatic Scoring of Neuromuscular Examinations"],"prefix":"10.3390","volume":"11","author":[{"given":"Quentin","family":"Lesport","sequence":"first","affiliation":[{"name":"Care Constitution Corp., Newark, DE 19702, USA"},{"name":"Laboratoire des Sciences de l\u2019Ing\u00e9nieur pour l\u2019Environnement (LaSIE) UMR-CNRS 7356, University of La Rochelle, 17000 La Rochelle, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Davis","family":"Palmie","sequence":"additional","affiliation":[{"name":"Care Constitution Corp., Newark, DE 19702, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1638-9095","authenticated-orcid":false,"given":"G\u00fcl\u015fen","family":"\u00d6ztosun","sequence":"additional","affiliation":[{"name":"Department of Neurology & Rehabilitation Medicine, School of Medicine & Health Sciences, George Washington University, Washington, DC 20037, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henry J.","family":"Kaminski","sequence":"additional","affiliation":[{"name":"Department of Neurology & Rehabilitation Medicine, School of Medicine & Health Sciences, George Washington University, Washington, DC 20037, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Garbey","sequence":"additional","affiliation":[{"name":"Care Constitution Corp., Newark, DE 19702, USA"},{"name":"Laboratoire des Sciences de l\u2019Ing\u00e9nieur pour l\u2019Environnement (LaSIE) UMR-CNRS 7356, University of La Rochelle, 17000 La Rochelle, France"},{"name":"Department of Surgery, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,20]]},"reference":[{"key":"ref_1","first-page":"30","article-title":"Telemedicine Applied to Neuromuscular Disorders: Focus on the COVID-19 Pandemic Era","volume":"41","author":"Giannotta","year":"2022","journal-title":"Acta Myol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3553","DOI":"10.1007\/s10072-021-05396-8","article-title":"How to Manage with Telemedicine People with Neuromuscular Diseases?","volume":"42","author":"Spina","year":"2021","journal-title":"Neurol. 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