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Updated: Jun 6, 2025

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
Published on: November 30, 2022
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making
Nehal Hassan1, Robert Slight2, Kweku Bimpong3
1School of Pharmacy / Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom. nehal.hassan@newcastle.ac.uk.
Abstract:
Artificial intelligence (AI)-enabled decision aids can contribute to the shared decision-making process between patients and clinicians through personalised recommendations. This systematic review aims to understand users' perceptions on using AI-enabled decision aids to inform shared decision-making. Four databases were searched. The population, intervention, comparison, outcomes and study design tool was used to formulate eligibility criteria. Titles, abstracts and full texts were independently screened and PRISMA guidelines followed. A narrative synthesis was conducted. Twenty-six articles were included, with AI-enabled decision aids used for screening and prevention, prognosis, and treatment. Patients found the AI-enabled decision aids easy to understand and user-friendly, fostering a sense of ownership and promoting better adherence to recommended treatment. Clinicians expressed concerns about how up-to-date the information was and the potential for over- or under-treatment. Despite users' positive perceptions, they also acknowledged certain challenges relating to the usage and risk of bias that would need to be addressed.Registration: PROSPERO database: (CRD42020220320).
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