2024
Application of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination
Garbey M, Lesport Q, Girma H, Öztosun G, Abu-Rub M, Guidon A, Juel V, Nowak R, Soliven B, Aban I, Kaminski H. Application of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination. Frontiers In Neurology 2024, 15: 1474884. PMID: 39697445, PMCID: PMC11652356, DOI: 10.3389/fneur.2024.1474884.Peer-Reviewed Original ResearchNatural language processingMyasthenia gravisArtificial intelligenceArtificial intelligence methodsSeries of algorithmsComputer visionSignal processing methodsExamination of patientsConventional clinical settingsLanguage processingIntelligence methodsNon-physician healthcare providersVideoControl subjectsClinical trialsPatientsRespiratory metricsMyastheniaBreath countClinical settingAlgorithmBody motionVideos of patientsTelemedicine evaluationIntelligence
2017
Optimizing the Use of Outcome Measures in Chronic Inflammatory Demyelinating Polyneuropathy
Allen J, Gelinas D, Lewis R, Nowak R, Wolfe G. Optimizing the Use of Outcome Measures in Chronic Inflammatory Demyelinating Polyneuropathy. TouchREVIEWS In Neurology 2017, 13: 26. DOI: 10.17925/usn.2017.13.01.26.Peer-Reviewed Original ResearchChronic inflammatory demyelinating polyneuropathyOverall Disability Sum ScoreOverall Neuropathy Limitations ScaleInflammatory demyelinating polyneuropathyOutcome measuresDemyelinating polyneuropathyDisability scoresMedical Research Council sum scoreSum scoreTreatment (INCAT) disability scoreInflammatory Neuropathy CauseOverall Disability ScaleRoutine daily practiceAssessment of patientsQuality of lifeAspects of impairmentDisability outcomesSensory dysfunctionMartin VigorimeterGrip strengthInflammatory RaschDisability ScaleLimitation ScaleClinical trialsSensory impairment