Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians.
FDA policy
bias
health care
human-AI collaboration
technology adoption
trust
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
19 06 2020
19 06 2020
Historique:
received:
24
06
2019
accepted:
03
06
2020
revised:
12
05
2020
entrez:
20
6
2020
pubmed:
20
6
2020
medline:
1
12
2020
Statut:
epublish
Résumé
Artificial intelligence (AI) can transform health care practices with its increasing ability to translate the uncertainty and complexity in data into actionable-though imperfect-clinical decisions or suggestions. In the evolving relationship between humans and AI, trust is the one mechanism that shapes clinicians' use and adoption of AI. Trust is a psychological mechanism to deal with the uncertainty between what is known and unknown. Several research studies have highlighted the need for improving AI-based systems and enhancing their capabilities to help clinicians. However, assessing the magnitude and impact of human trust on AI technology demands substantial attention. Will a clinician trust an AI-based system? What are the factors that influence human trust in AI? Can trust in AI be optimized to improve decision-making processes? In this paper, we focus on clinicians as the primary users of AI systems in health care and present factors shaping trust between clinicians and AI. We highlight critical challenges related to trust that should be considered during the development of any AI system for clinical use.
Identifiants
pubmed: 32558657
pii: v22i6e15154
doi: 10.2196/15154
pmc: PMC7334754
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e15154Informations de copyright
©Onur Asan, Alparslan Emrah Bayrak, Avishek Choudhury. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.06.2020.
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