{"doi":"10.1002/mus.28394","title":"A Quantitative Study of Factors Influencing Myasthenia Gravis Telehealth Examination Score","abstract":"INTRODUCTION/AIMS: The adoption of telemedicine is generally considered as advantageous for patients and physicians, but there is limited rigorous assessment of examination strengths and limitations. We set out to perform a quantitative assessment of the limitations of a standardized examination of subjects with myasthenia gravis (MG) during video-taped telemedicine sessions. METHODS: We utilized a video bank containing recordings from 51 MG patients who completed two telemedicine-based examinations with neuromuscular experts; each recording included the MG core examination (MG-CE) and the MG activities of daily living (MG-ADL). We then applied artificial intelligence (AI) algorithms from computer vision and speech analysis to natural language processing to generate and assess the reproducibility and inter-rater reliability of the MG-CE and MG-ADL. RESULTS: We successfully developed a technology to assess video examinations. While overall MG-CE scores were consistent across examiners, individual metrics showed significant variability, with up to a 25% variation in scoring within the MG-CE's range. Additionally, there was wide variability in adherence to MG-ADL instructions. These variations were attributed to differences in examiner instructions, video recording limitations, and patient disease severity. DISCUSSION: We were able to develop a system of digital analysis of neuromuscular examinations in order to assess variability in individual scoring measures of the MG-ADL and MG-CE. Our approach enabled post hoc quantitative analysis of neuromuscular examinations. Further refinement of this technology could enhance examiner training and reduce variability in clinical trial outcome measures.","journal":"Muscle & Nerve","year":2025,"id":531277,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8765,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1073584,"name":"Quentin Lesport","orcid":"0009-0009-0039-7064","position":1,"is_corresponding":false},{"id":1073585,"name":"Helen Girma","orcid":"0000-0002-3235-9216","position":2,"is_corresponding":false},{"id":1261930,"name":"Gülşen Öztosun","orcid":"0000-0002-1638-9095","position":3,"is_corresponding":false},{"id":270884,"name":"Henry J. Kaminski","orcid":"0000-0002-8195-0141","position":4,"is_corresponding":false},{"id":317154,"name":"Marc Garbey","orcid":"0000-0001-7898-9136","position":0,"is_corresponding":true}],"reference_count":17,"raw_metadata":null,"created_at":"2026-07-19T02:51:14.579161Z","pmid":"40176335","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}