Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke.

ABSTRACT:

Introduction

Artificial intelligence (AI) has the potential to transform clinical decision-making as we know it. Powered by sophisticated machine learning algorithms, clinical decision support systems (CDSS) can generate unprecedented amounts of predictive information about individuals' health. Yet, despite the potential of these systems to promote proactive decision-making and improve health outcomes, their utility and impact remain poorly understood due to their still rare application in clinical practice. Taking the example of AI-powered CDSS in stroke medicine as a case in point, this paper provides a nuanced account of stroke survivors', family members', and healthcare professionals' expectations and attitudes towards medical AI.

Methods

We followed a qualitative resear

SUBMITTER: Amann J 

PROVIDER: S-EPMC9833517 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature