@inproceedings{242e8c3c05584aafaed1bcb097eb1c3c,
title = "Neurologists' Expectations of AI in Clinical Practice: A Study on Task Prioritisation and Patient-Centred Perspectives",
abstract = "As part of the digital health transformation, artificial intelligence (AI) is reshaping patient-centred care by merging technological innovation with value-driven healthcare, particularly in chronic disease management, where long-term care continuity and individualised approaches are crucial. This study first examined the types of tasks neurologists would prioritise in their expectations of AI assistance, and second, whether patient-centred views correlate with these AI expectations. Pilot survey data from Finnish neurologists (N = 30) were used in a Bayesian regression analysis for small-sample sizes. The results showed that AI is more accepted for administrative and routine monitoring tasks than for direct clinical decision-making. Respondents with patient-centredness had high expectations for AI assistance, particularly in monitoring the execution of the treatment plan and in optimising resource planning. AI may shift clinical roles by automating tasks, enabling clinicians to focus more on patient care.",
keywords = "Artificial Intelligence/statistics \& numerical data, Patient-Centered Care/statistics \& numerical data, Humans, Finland, Neurologists/psychology, Attitude of Health Personnel, Bayes Theorem, Male",
author = "Tuuli Turja and Hanna Kuusisto and Virpi Jylh{\"a}",
year = "2026",
month = may,
day = "21",
doi = "10.3233/SHTI260186",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "403--407",
booktitle = "Opening the Personal Gate between Technology and Health Care",
address = "Netherlands",
note = "Medical Informatics Europe, MIE ; Conference date: 25-05-2026 Through 28-05-2026",
}