Research graph
References from Digital assessment in myasthenia gravis: evidence, validation, and a proposed framework for autoimmune heterogeneity, remote monitoring, and clinical endpoints. Local targets link to admitted publications; unresolved targets remain external evidence.
Myasthenia gravis: the future is here
10.1172/jci179742 · 2024 · External reference
Targeting autoimmune mechanisms by precision medicine in myasthenia gravis
10.3389/fimmu.2024.1404191 · 2024 · External reference
275th ENMC international workshop: seronegative myasthenia gravis: an update paradigm for diagnosis and management, 9–11 February 2024, Hoofddorp, the Netherlands
10.1016/j.nmd.2024.104468 · 2024 · External reference
Myasthenia gravis: pathophysiology, diagnosis, and treatment
10.1016/b978-0-12-823912-4.00026-8 · 2024 · External reference
Myasthenic crisis
10.1002/mus.27832 · 2023 · External reference
Persistent symptoms, exacerbations and drug side effects despite treatment in myasthenia gravis
10.1111/ene.16463 · 2025 · External reference
Patient-reported burden of myasthenia gravis: baseline results of the international prospective, observational, longitudinal real-world digital study MyRealWorld-MG
10.1136/bmjopen-2022-066445 · 2023 · External reference
The telemedical platform MyaLink for remote monitoring in myasthenia gravis: rationale and protocol for a proof of concept study
10.1177/22143602241296314 · 2026 · External reference
The lived experience of myasthenia gravis: a patient-led analysis
10.1007/s40120-021-00285-w · 2021 · External reference
Prediction of myasthenia gravis worsening: a machine learning algorithm using wearables and patient-reported measures
10.1002/acn3.70257 · 2026 · External reference
Outcome measures in clinical trials of patients with myasthenia gravis
10.3389/fneur.2020.596382 · 2020 · External reference
Addressing outcome measure variability in myasthenia gravis clinical trials
10.1212/wnl.0000000000207278 · 2023 · External reference
The MG Composite: a valid and reliable outcome measure for myasthenia gravis
10.1212/wnl.0b013e3181dc1b1e · 2010 · External reference
International clinimetric evaluation of the MG-QOL15, resulting in slight revision and subsequent validation of the MG-QOL15r
10.1002/mus.25198 · 2016 · External reference
Efgartigimod improved health-related quality of life in generalized myasthenia gravis: results from a randomized, double-blind, placebo-controlled, phase 3 study (ADAPT)
10.1007/s00415-022-11517-w · 2023 · External reference
App- and wearable-based remote monitoring for patients with myasthenia gravis and its specialists: feasibility and usability study
10.2196/58266 · 2025 · External reference
Development and feasibility assessment of a multimodal digital health technology for remote monitoring of symptoms in myasthenia gravis
10.1159/000549122 · 2025 · External reference
Remote monitoring in myasthenia gravis: exploring symptom variability
10.1002/acn3.70293 · 2026 · External reference
Digital monitoring of patients with generalized myasthenia gravis: a prospective pilot study
10.1007/s40120-026-00932-0 · 2026 · External reference
Refocusing generalized myasthenia gravis: patient burden, disease profiles, and the role of evolving therapy
10.1111/ene.16180 · 2024 · External reference
Batoclimab vs placebo for generalized myasthenia gravis: a randomized clinical trial
10.1001/jamaneurol.2024.0044 · 2024 · External reference
ADAPT NXT: fixed cycles or every-other-week IV efgartigimod in generalized myasthenia gravis
10.1002/acn3.70051 · 2025 · External reference
Terminal complement inhibitor ravulizumab in generalized myasthenia gravis
10.1056/evidoa2100066 · 2022 · External reference
Safety and efficacy of chronic weekly rozanolixizumab in generalized myasthenia gravis: the randomized open-label extension MG0004 study
10.1007/s00415-025-12958-9 · 2025 · External reference
A phase 3 trial of inebilizumab in generalized myasthenia gravis
10.1056/nejmoa2501561 · 2025 · External reference
Characterizing myasthenia gravis symptoms, exacerbations, and crises from neurologist's clinical notes using natural language processing
10.7759/cureus.65792 · 2024 · External reference
Application of digital tools and artificial intelligence in the myasthenia gravis core examination
10.3389/fneur.2024.1474884 · 2024 · External reference
Development and assessment of an artificial intelligence-based tool for ptosis measurement in adult myasthenia gravis patients using selfie video clips recorded on smartphones
10.1159/000531224 · 2023 · External reference
Key considerations for designing clinical studies to evaluate digital health solutions
10.2196/54518 · 2024 · External reference
Experience of daily life with generalized myasthenia gravis: a qualitative investigation and assessment of instrument content validity
10.1007/s40120-023-00544-y · 2023 · External reference
Systematic review of the patient burden of generalised myasthenia gravis in Europe, the Middle East, and Africa
10.1186/s12883-024-03553-y · 2024 · External reference
Digital health technology for real-world clinical outcome measurement using patient-generated data: systematic scoping review
10.2196/46992 · 2023 · External reference
Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for biometric monitoring technologies (BioMeTs)
10.1038/s41746-020-0260-4 · 2020 · External reference
V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies
10.1038/s41746-024-01322-2 · 2025 · External reference
Digital health readiness: making digital health care more inclusive
10.2196/58035 · 2024 · External reference
Utilization of MG-ADL in myasthenia gravis clinical research and care
10.1002/mus.27476 · 2022 · External reference
Development and validation of the myasthenia gravis impairment index
10.1212/wnl.0000000000002971 · 2016 · External reference
Cutoffs on severity metrics for minimal manifestations or better status in patients with generalized myasthenia gravis
10.3389/fimmu.2024.1502721 · 2024 · External reference
Standardization of myasthenia gravis outcome measures in clinical practice: a report of the MGFA task force
10.1002/mus.28417 · 2025 · External reference
Measuring overall severity of myasthenia gravis (MG): evidence for the added value of the MG Symptoms PRO
10.1007/s40120-023-00464-x · 2023 · External reference
Assessing respiratory status in myasthenia gravis: limited value of the MG-ADL as a standalone tool compared with spirometry in a Danish cohort
10.1007/s00415-026-13757-6 · 2026 · External reference
Traditional and digital biomarkers: two worlds apart
10.1159/000502000 · 2019 · External reference
High-performance medicine: the convergence of human and artificial intelligence
10.1038/s41591-018-0300-7 · 2019 · External reference
Patient-reported impact of myasthenia gravis in the real world: protocol for a digital observational study (MyRealWorld MG)
10.1136/bmjopen-2020-048198 · 2021 · External reference
A decentralized, prospective, observational study to collect real-world data from patients with myasthenia gravis using smartphones
10.3389/fneur.2023.1144183 · 2023 · External reference
Patient-reported impact of myasthenia gravis in the real world: findings from a digital observational survey-based study (MyRealWorld MG)
10.1136/bmjopen-2022-068104 · 2023 · External reference
Psychometric properties of MG-ADL items and MG-ADL score: an assessment of distributional characteristics, validity and factor structure in two large datasets
10.1016/j.jns.2024.123135 · 2024 · External reference
Effects of a change in recall period on reporting severe symptoms: an analysis of a pragmatic multisite trial
10.1093/jnci/djae049 · 2024 · External reference
Community-dwelling older adults' readiness for adopting digital health technologies: cross-sectional survey study
10.2196/54120 · 2024 · External reference
Did the speech of patients with myasthenia gravis decline over 4 years
10.1590/2317-1782/20232023055en · 2023 · External reference
Comprehensive evaluation of velopharyngeal function in myasthenia gravis patients
10.1007/s13760-022-01904-5 · 2022 · External reference
Making the invisible audible: a real-world connected speech study in myasthenia gravis
10.3389/fneur.2026.1756913 · 2026 · External reference
Ocular weakness in myasthenia gravis: changes in affected muscles are a distinct clinical feature
10.3233/jnd-190407 · 2019 · External reference
Assessing facial weakness in myasthenia gravis with facial recognition software and deep learning
10.1002/acn3.51823 · 2023 · External reference
Is video-oculography a predictive test for myasthenia gravis with ocular symptoms
10.4103/0028-3886.336330 · 2022 · External reference
Ocular myasthenia gravis saccades as a measure of extraocular muscle function
10.3389/fopht.2022.938088 · 2022 · External reference
Oculomotor fatigability with decrements of saccade and smooth pursuit for diagnosis of myasthenia gravis
10.1007/s00415-023-11611-7 · 2023 · External reference
Building a quantitative telemedicine platform for myasthenia gravis: augmenting the physical examination
10.1002/mus.70072 · 2026 · External reference
Digital phenotyping and lifestyle intervention in patients with myasthenia gravis (DIG-MG): a randomized controlled trial of feasibility, adherence, and effects on fatigue
10.1002/mus.70234 · 2026 · External reference
Free-living physical activity and sedentary behaviour in autoimmune myasthenia gravis: a cross-sectional study
10.3233/jnd-210637 · 2021 · External reference
Longitudinal relationships between free-living activities, fatigue, and symptom severity in myasthenia gravis using cohort and individualized models
10.1002/mus.28282 · 2025 · External reference
Habitual physical activity in patients with myasthenia gravis assessed by accelerometry and questionnaire
10.3233/jnd-210693 · 2022 · External reference
Sleep disorders in myasthenia gravis: a systematic review on prevalence, clinical associations, and the accuracy of assessment methodologies
10.1016/j.sleep.2025.108726 · 2026 · External reference
Reliability and validity of cough peak flow measurements in myasthenia gravis
10.1016/j.nmd.2024.06.003 · 2024 · External reference
Office-based respiratory assessment in patients with generalized myasthenia gravis
10.1016/j.nmd.2024.05.005 · 2024 · External reference
Telemedicine visits in myasthenia gravis: expert guidance and the Myasthenia Gravis Core Exam (MG-CE)
10.1002/mus.27260 · 2021 · External reference
Wearable technologies for monitoring upper extremity functions during daily life in neurologically impaired individuals
10.1109/tnsre.2024.3435042 · 2024 · External reference
Evaluating AI research quality in myasthenia gravis: a longitudinal study using the CLARITY Framework (2020-2024)
10.1007/s10916-025-02335-4 · 2026 · External reference
Show and tell: a critical review on robustness and uncertainty for a more responsible medical AI
10.1016/j.ijmedinf.2025.105970 · 2025 · External reference
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
10.1136/bmj-2024-081554 · 2025 · External reference
Perspectives on validation of clinical predictive algorithms
10.1038/s41746-023-00832-9 · 2023 · External reference
Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome measures: ISPOR ePRO Good Research Practices Task Force report
10.1111/j.1524-4733.2008.00470.x · 2009 · External reference
Unresolved reference
2025 · External reference
Clinical validation of novel digital measures: statistical methods for reliability evaluation
10.1159/000531054 · 2023 · External reference
Considerations and approaches to establishing estimates of meaningful change for digital endpoints as drug development tools
10.1007/s43441-025-00794-y · 2025 · External reference
Mitigation of data packet loss in Bluetooth Low Energy-based wearable healthcare ecosystem
10.3390/bios11100350 · 2021 · External reference
NiMBaLWear analytics pipeline for wearable sensors: a modular, open-source platform for evaluating multiple domains of health and behaviour
10.1186/s44247-024-00062-3 · 2024 · External reference
Investigating sources of inaccuracy in wearable optical heart rate sensors
10.1038/s41746-020-0226-6 · 2020 · External reference
A hierarchical framework for selecting reference measures for the analytical validation of sensor-based digital health technologies
10.2196/58956 · 2025 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Evaluation of clinical prediction models (part 2): how to undertake an external validation study
10.1136/bmj-2023-074820 · 2024 · External reference
Multimodal biomedical AI
10.1038/s41591-022-01981-2 · 2022 · External reference
Multimodal machine learning in image-based and clinical biomedicine: survey and prospects
10.1007/s11263-024-02032-8 · 2024 · External reference
The impact of electronic health record-integrated patient-generated health data on clinician burnout
10.1093/jamia/ocab017 · 2021 · External reference
Empowering patients: a multimodal digital health technology survey of patients with neurogenerative disorders and immune-mediated inflammatory diseases
10.1177/20552076251380054 · 2025 · External reference
Operational implementation of remote patient monitoring within a large ambulatory health system: multimethod qualitative case study
10.2196/45166 · 2023 · External reference
A simulated graphical interface for integrating patient-generated health data from smartwatches with electronic health records: usability study
10.2196/19769 · 2020 · External reference
Benefits and challenges of remote patient monitoring as perceived by health care practitioners: a systematic review
10.7812/tpp/23.022 · 2023 · External reference
Remote symptom monitoring integrated into electronic health records: a systematic review
10.1093/jamia/ocaa177 · 2020 · External reference
Regulatory considerations for successful implementation of digital endpoints in clinical trials for drug development
10.1038/s41746-025-01513-5 · 2025 · External reference
Considerations to address missing data when deriving clinical trial endpoints from digital health technologies
10.1016/j.cct.2021.106661 · 2022 · External reference
Unresolved reference
2023 · External reference
Sources of bias in artificial intelligence that perpetuate healthcare disparities: a global review
10.1371/journal.pdig.0000022 · 2022 · External reference
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations
10.1016/s2589-7500(24)00224-3 · 2025 · External reference
Does deidentification of data from wearable devices give us a false sense of security? a systematic review
10.1016/s2589-7500(22)00234-5 · 2023 · External reference
Electronic informed consent criteria for research ethics review: a scoping review
10.1186/s12910-022-00849-x · 2022 · External reference
Ethical considerations for the use of consumer wearables in health research
10.1177/20552076231153740 · 2023 · External reference
Development and validation of the myasthenia gravis telescore (MGTS)
10.1007/s10072-022-05918-y · 2022 · External reference
Pharmacotherapy of generalized myasthenia gravis with special emphasis on newer biologicals
10.1007/s40265-022-01726-y · 2022 · External reference
Clinical experience with maintenance therapeutic plasma exchange in refractory generalized myasthenia gravis
10.1002/jca.21923 · 2021 · External reference
Efficacy and safety of maintenance intravenous immunoglobulin in generalized myasthenia gravis patients with acetylcholine receptor antibodies: A multicenter, double-blind, placebo-controlled trial
10.1002/mus.28289 · 2025 · External reference
Design of and early insights from a generalized myasthenia gravis patient engagement research council
10.1002/hsr2.70230 · 2024 · External reference
Escalation pathways of remote patient monitoring programs for COVID-19 patients in Canada and the United States: A rapid review
10.1089/tmj.2024.0280 · 2025 · External reference
The value of decentralized clinical trials: Inclusion, accessibility, and innovation
10.1126/science.adq4994 · 2024 · External reference
Tepid uptake of digital health technologies in clinical trials by pharmaceutical and medical device firms
10.1002/cpt.3192 · 2024 · External reference
Patient and public willingness to share personal health data for third-party or secondary uses: Systematic review
10.2196/50421 · 2024 · External reference
Federated electronic health records for the European Health Data Space
10.1016/s2589-7500(23)00156-5 · 2023 · External reference
Assessing telemedicine unreadiness among older adults in the United States during the COVID-19 pandemic
10.1001/jamainternmed.2020.2671 · 2020 · External reference
Demystifying the digital divide: Disparities in telerehabilitation readiness among older adults in the United States
10.1016/j.apmr.2024.03.009 · 2024 · External reference
Provision of digital devices and internet connectivity to improve synchronous telemedicine access in the U.S.: a systematic scoping review
10.3389/fdgth.2024.1408170 · 2024 · External reference
2023 HRS/EHRA/APHRS/LAHRS expert consensus statement on practical management of the remote device clinic
10.1093/europace/euad123 · 2023 · External reference
A national survey of digital health company experiences with electronic health record application programming interfaces
10.1093/jamia/ocae006 · 2024 · External reference
Challenges and facilitators in implementing remote patient monitoring programs in primary care
10.1007/s11606-023-08557-x · 2024 · External reference
Need for clarifying remote physiologic monitoring reimbursement during the COVID-19 pandemic: a respiratory disease case study
10.1038/s41746-021-00421-8 · 2021 · External reference
Digital phenotyping in clinical neurology
10.1055/s-0041-1741495 · 2022 · External reference
Digital medicine and the curse of dimensionality
10.1038/s41746-021-00521-5 · 2021 · External reference
Clinical characteristics of anti-AChR-MuSK-LRP4 antibody-negative myasthenia gravis in China
10.1002/mus.27822 · 2023 · External reference
Does clinical research account for diversity in deploying digital health technologies
10.1038/s41746-023-00928-2 · 2023 · External reference
