The Center
Multiple Sclerosis Center Dresden
Patient Information
Contact MSC
Physicians & Nurses
Study Team
Neuropsychology
Mobility Center
The Mobility Center
Walking Assessment
Jump Assessment
DIERS
EMIQ
Projects
Neuroimmunological Laboratory
The NIL
Neurofilament light chain
Autonomic & Neuroendocrinological Functional Laboratory
The ANF
ANF Assessment
MS Living Lab
Management & Science
Team Management & Science
Projects
eHealth & Analytics
MSDS 3D
MSDS Clinic & Practice
MS-HRS
MTRS
Multiple Sclerosis Management
Aktuelles
Neuigkeiten
Publikationen
Veranstaltungen
Adventssymposium
Multiple Sklerose 360°
Welt-MS-Tag 2021
Doktorarbeiten
Jobs
Kontakt
Podcasts & Newsletter
Newsletter
Patienten-Podcast
Ärzte-Podcast
Neurovision
Studien
Interventionelle Studien
B-SHUTTLE
Nicht-interventionelle Studien
MS PATHS
Konectom
Sprachanalyse
English (UK)
Deutsch
English (UK)
Multiple sclerosis progression discussion tool usability and usefulness in clinical practice: Cross-sectional, web-based survey
MASC
Jahr
Publikationsjahr
2021
Autoren
Autorenliste der Publikation
Ziemssen T, Giovannoni G, Alvarez E, Bhan V, Hersh C, Hoffmann O, Oreja-Guevara C, Robles-Cedeño RR, Trojano M, Vermersch P, Dobay P, Khwaja M, Stadler B, Rauser B, Hach T, Piani-Meier D, Burton J.
Verlag
Publisher-Information
J Med Internet Res. 2021 Oct 6;23(10):e29558.
Link
Zur Publikation (externer Server)
https://doi.org/10.2196/29558
Tags
Forschungsthemen
Multiple Sklerose
Management & Science
MASC
2021
Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning
MASC
Jahr
2024
Integrating large language models in care, research, and education in multiple sclerosis management
MASC
Jahr
2024
A 2-stage model of heterogenous treatment effects for brain atrophy in multiple sclerosis utilizing the MS PATHS research network
Multiple Sclerosis
Jahr
2024
A future of AI-driven personalized care for people with multiple sclerosis
MASC
Jahr
2024
Rule-Based DSL for Continuous Features and ML Models Selection in Multiple Sclerosis Research
MASC
Jahr
2024