AI in Neurological Health Care: Qualitative Study of Patient and Public Perceptions
A qualitative study with 15 participants focused on perceptions of AI in managing neurological conditions such as early-onset Parkinson's, epilepsy, and multiple sclerosis found that patients perceive improved diagnostics and treatments, increased involvement in care, and resource efficiency from AI. However, concerns were raised about data preparedness and potential deskilling risks.
- Tags
- #AI
- Most relevant to
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Why it matters
This study highlights patient and public views on AI's role in healthcare, showcasing its potential benefits while pointing out significant challenges that need addressing before widespread implementation.
What this does not prove
The study does not establish the clinical efficacy of AI applications or their direct impact on patient outcomes, focusing instead on perceptions.
Next milestone
No next milestone was established from the available source.
Study facts
- Study design
- Observational
- Participants / samples
- 15 · basis not reported
- Randomised
- Not reported
- Controlled
- Not reported
- Primary endpoint met
- Not reported
- Relevant MS type
- All
- Publication date
- 2026-09-24
- Evidence reviewed
- Abstract only
- Regulatory approval
- Not reported
- Research areas
- AI, Other
Original sources
- Primary evidenceAI in Neurological Health Care: Qualitative Study of Patient and Public Perceptions. ↗DOI: 10.2196/87806
Supporting passages (9)
study designOBJECTIVE: This qualitative study explores the perspectives of patients and the public impacted by neurological conditions on the use of AI in health care in Ireland.
subjectsThe sample consisted of 15 participants involved in 2 focus groups, most commonly with conditions including early-onset Parkinson disease, epilepsy, and multiple sclerosis.
sample sizeThe sample consisted of 15 participants involved in 2 focus groups, most commonly with conditions including early-onset Parkinson disease, epilepsy, and multiple sclerosis.
research categoriesAI has significant potential in terms of diagnostics and treatment for preventive and personalized medicine, including progressive, nonprogressive, or neurodivergent conditions affecting the brain, spinal cord, and nerves.
relevant ms typesThe sample consisted of 15 participants involved in 2 focus groups, most commonly with conditions including early-onset Parkinson disease, epilepsy, and multiple sclerosis.
publication datePublication date: 2026-09-24
interventionAI in clinical decision-making.
findingsParticipants believed that AI-powered systems could assist with information collation and decision-making, and AI could be an aid in simple repetitive tasks, allowing clinicians more time for clinical work.
limitationsTitle: AI in Neurological Health Care: Qualitative Study of Patient and Public Perceptions.
AI assessment, not yet reviewed by a person · version 1 · Community votes are separate from evidence review.