Cargando…
Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians
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 sha...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334754/ https://www.ncbi.nlm.nih.gov/pubmed/32558657 http://dx.doi.org/10.2196/15154 |
_version_ | 1783553998678130688 |
---|---|
author | Asan, Onur Bayrak, Alparslan Emrah Choudhury, Avishek |
author_facet | Asan, Onur Bayrak, Alparslan Emrah Choudhury, Avishek |
author_sort | Asan, Onur |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7334754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73347542020-07-09 Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians Asan, Onur Bayrak, Alparslan Emrah Choudhury, Avishek J Med Internet Res Viewpoint 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. JMIR Publications 2020-06-19 /pmc/articles/PMC7334754/ /pubmed/32558657 http://dx.doi.org/10.2196/15154 Text en ©Onur Asan, Alparslan Emrah Bayrak, Avishek Choudhury. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.06.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Viewpoint Asan, Onur Bayrak, Alparslan Emrah Choudhury, Avishek Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians |
title | Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians |
title_full | Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians |
title_fullStr | Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians |
title_full_unstemmed | Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians |
title_short | Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians |
title_sort | artificial intelligence and human trust in healthcare: focus on clinicians |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334754/ https://www.ncbi.nlm.nih.gov/pubmed/32558657 http://dx.doi.org/10.2196/15154 |
work_keys_str_mv | AT asanonur artificialintelligenceandhumantrustinhealthcarefocusonclinicians AT bayrakalparslanemrah artificialintelligenceandhumantrustinhealthcarefocusonclinicians AT choudhuryavishek artificialintelligenceandhumantrustinhealthcarefocusonclinicians |