SOURCE-LINKED INTELLIGENCE

Strategies for integrating artificial intelligence and cognitive assessment to predict disability progression in relapsing-remitting multiple sclerosis: A model development study

OpenAlex research metadata · article · Sep 25, 2026 · UTC

PLOS Digital Health · Multiple Sclerosis Research Studies · Monash University; Australian Regenerative Medicine Institute; UNSW Sydney

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Research metadata: OpenAlex (CC0). Original paper rights remain with its publisher.

First collected: 2026-09-26T16:33:30.713Z. This is not the publication date.

OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.

Citations reported by OpenAlex: 0
Authors: Chao Zhu; Xin Zhang; Anneke Van Der Walt; Bruce Taylor; Mastura Monif; Tomas Kalincik; Jeanette Lechner-Scott; Katherine Buzzard; Trevor Kilpatrick; Michael Barnett; Zhen Zhou; Vilija Jokubaitis; Melissa Gresle; David Darby; Deval Mehta; Zongyuan Ge; Helmut Butzkueven; Daniel Merlo
Affiliations: Monash University (AU); Australian Regenerative Medicine Institute (AU); UNSW Sydney (AU); The Alfred Hospital (AU); University of Tasmania (AU); Menzies School of Health Research (AU); The Royal Melbourne Hospital (AU); The University of Melbourne (AU); Hunter New England Local Health District (AU); Eastern Health (AU); The University of Sydney (AU); Cognitive Neuroimaging Lab (FR); RMIT University (AU)
Topic: Multiple Sclerosis Research Studies
Venue: PLOS Digital Health
Publication type: article
Retraction flag reported by OpenAlex: Not flagged

Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.