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People with multiple sclerosis showed moderate acceptance of AI

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Research area:medicine-clinical

What the study found

People with multiple sclerosis showed moderate acceptance of AI support, and acceptance varied by clinical role. Comfort was higher for supportive uses such as chronic management and symptom screening than for diagnosis or treatment selection.

Why the authors say this matters

The authors conclude that real-world benefit from AI in multiple sclerosis will depend on whether people accept it in different clinical roles. They suggest implementation should use transparent, clinician-led human-in-the-loop workflows, meaning AI is used with clinician oversight and final responsibility stays with the clinician, and should begin with lower-risk uses.

What the researchers tested

The researchers conducted a cross-sectional, web-based survey of 241 people with multiple sclerosis. They assessed comfort with AI across eight clinical domains, built an AI attitudes composite, and used multivariable models to look for predictors of acceptance.

What worked and what didn't

Acceptance was moderate overall, with a mean score of 3.39 ± 0.78, and the attitudes composite showed high internal consistency (Cronbach alpha = 0.90). Comfort was highest for chronic management (54.4%) and symptom screening (50.2%), and lower for treatment selection (38.6%) and diagnosis (35.3%). Frequent general AI use was the strongest independent predictor of acceptance, while older age was linked to lower acceptance of AI-supported management; clinical disability was not significantly associated.

What to keep in mind

This was a cross-sectional survey, so it captures attitudes at one point in time. The abstract does not describe limitations beyond the observed differences across regions and roles, and the findings are specific to the surveyed group of people with multiple sclerosis.

Key points

  • Overall acceptance of AI among surveyed people with multiple sclerosis was moderate.
  • Acceptance was higher for supportive tasks like chronic management and symptom screening than for diagnosis or treatment selection.
  • Frequent general AI use was the strongest independent predictor of acceptance.
  • Older age was associated with lower acceptance of AI-supported management.
  • Most participants preferred joint AI-clinician decision-making, with clinician final responsibility.

Disclosure

Research title:
People with multiple sclerosis showed moderate acceptance of AI
Authors:
Hernán Inojosa, Lars Masanneck, Isabel Voigt, Dirk Schriefer, Nele von Hörsten, Judith Wenk, Iva Gasparovic-Curtini, Rocco Haase, Sven G. Meuth, Hagen B. Huttner, Stephen Gilbert, Marc Pawlitzki, Tjalf Ziemssen
Institutions:
Centre for Tactile Internet with Human-in-the-Loop, Centre for Tactile Internet with Human-in-the-Loop, Centre for Tactile Internet with Human-in-the-Loop, Centre for Tactile Internet with Human-in-the-Loop, Centre for Tactile Internet with Human-in-the-Loop, Centre for Tactile Internet with Human-in-the-Loop, Centre for Tactile Internet with Human-in-the-Loop, Centre for Tactile Internet with Human-in-the-Loop, Else Kröner Fresenius Center for Digital Health, Technische Universität Dresden, Technische Universität Dresden, Technische Universität Dresden, Technische Universität Dresden, Technische Universität Dresden, Technische Universität Dresden, Technische Universität Dresden, Technische Universität Dresden, University Hospital Carl Gustav Carus, University Hospital Carl Gustav Carus, University Hospital Carl Gustav Carus, University Hospital Carl Gustav Carus, University Hospital Carl Gustav Carus, University Hospital Carl Gustav Carus, University Hospital Carl Gustav Carus, University Hospital Carl Gustav Carus, University Hospital Carl Gustav Carus, University of Münster, University of Münster, University of Münster
Publication date:
2026-07-01
DOI:
10.1371/journal.pdig.0001236
OpenAlex record:
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AI provenance: This post was generated by gpt-5.4-mini (OpenAI). The original authors did not write or review this post.

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