Open Access
Open access
volume 22 issue 6 pages e15154

Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians

Publication typeJournal Article
Publication date2020-06-19
scimago Q1
wos Q1
SJR1.992
CiteScore11.7
Impact factor6.0
ISSN14394456, 14388871
PubMed ID:  32558657
Health Informatics
Abstract

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.

Found 
Found 

Top-30

Journals

2
4
6
8
10
12
14
16
18
20
Journal of Medical Internet Research
19 publications, 3.59%
Journal of the American Medical Informatics Association : JAMIA
11 publications, 2.08%
Lecture Notes in Computer Science
8 publications, 1.51%
JMIR Human Factors
7 publications, 1.32%
International Journal of Medical Informatics
7 publications, 1.32%
International Journal of Human-Computer Interaction
7 publications, 1.32%
Cureus
7 publications, 1.32%
JMIR Formative Research
6 publications, 1.13%
Digital Health
6 publications, 1.13%
JMIR AI
5 publications, 0.95%
Proceedings of the ACM on Human-Computer Interaction
5 publications, 0.95%
IEEE Access
5 publications, 0.95%
JMIR Research Protocols
4 publications, 0.76%
Diagnostics
4 publications, 0.76%
npj Digital Medicine
4 publications, 0.76%
AI and Ethics
4 publications, 0.76%
BMC Health Services Research
4 publications, 0.76%
Artificial Intelligence Review
4 publications, 0.76%
Applied Ergonomics
4 publications, 0.76%
Frontiers in Artificial Intelligence
4 publications, 0.76%
JMIR Medical Informatics
3 publications, 0.57%
Frontiers in Psychology
3 publications, 0.57%
Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care
3 publications, 0.57%
Frontiers in Digital Health
3 publications, 0.57%
Engineering Applications of Artificial Intelligence
3 publications, 0.57%
Radiology Artificial Intelligence
3 publications, 0.57%
JAMA network open
3 publications, 0.57%
AI and Society
3 publications, 0.57%
Healthcare
2 publications, 0.38%
2
4
6
8
10
12
14
16
18
20

Publishers

20
40
60
80
100
120
Springer Nature
104 publications, 19.66%
Elsevier
86 publications, 16.26%
JMIR Publications
69 publications, 13.04%
Institute of Electrical and Electronics Engineers (IEEE)
35 publications, 6.62%
MDPI
32 publications, 6.05%
Frontiers Media S.A.
21 publications, 3.97%
Taylor & Francis
17 publications, 3.21%
Association for Computing Machinery (ACM)
17 publications, 3.21%
SAGE
16 publications, 3.02%
Wiley
15 publications, 2.84%
Oxford University Press
15 publications, 2.84%
Ovid Technologies (Wolters Kluwer Health)
9 publications, 1.7%
BMJ
8 publications, 1.51%
Cold Spring Harbor Laboratory
8 publications, 1.51%
Emerald
8 publications, 1.51%
IGI Global
7 publications, 1.32%
Public Library of Science (PLoS)
4 publications, 0.76%
Georg Thieme Verlag KG
4 publications, 0.76%
American Medical Association (AMA)
4 publications, 0.76%
AME Publishing Company
4 publications, 0.76%
Radiological Society of North America (RSNA)
3 publications, 0.57%
Hindawi Limited
3 publications, 0.57%
ASME International
2 publications, 0.38%
Bentham Science Publishers Ltd.
2 publications, 0.38%
IOP Publishing
2 publications, 0.38%
Social Science Electronic Publishing
2 publications, 0.38%
Walter de Gruyter
2 publications, 0.38%
American Society of Clinical Oncology (ASCO)
2 publications, 0.38%
Mary Ann Liebert
2 publications, 0.38%
20
40
60
80
100
120
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
529
Share
Cite this
GOST |
Cite this
GOST Copy
Asan O., Bayrak A. E., Choudhury A. Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians // Journal of Medical Internet Research. 2020. Vol. 22. No. 6. p. e15154.
GOST all authors (up to 50) Copy
Asan O., Bayrak A. E., Choudhury A. Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians // Journal of Medical Internet Research. 2020. Vol. 22. No. 6. p. e15154.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.2196/15154
UR - https://doi.org/10.2196/15154
TI - Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians
T2 - Journal of Medical Internet Research
AU - Asan, Onur
AU - Bayrak, Alparslan Emrah
AU - Choudhury, Avishek
PY - 2020
DA - 2020/06/19
PB - JMIR Publications
SP - e15154
IS - 6
VL - 22
PMID - 32558657
SN - 1439-4456
SN - 1438-8871
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2020_Asan,
author = {Onur Asan and Alparslan Emrah Bayrak and Avishek Choudhury},
title = {Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians},
journal = {Journal of Medical Internet Research},
year = {2020},
volume = {22},
publisher = {JMIR Publications},
month = {jun},
url = {https://doi.org/10.2196/15154},
number = {6},
pages = {e15154},
doi = {10.2196/15154}
}
MLA
Cite this
MLA Copy
Asan, Onur, et al. “Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians.” Journal of Medical Internet Research, vol. 22, no. 6, Jun. 2020, p. e15154. https://doi.org/10.2196/15154.