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Physician Confidence in Artificial Intelligence: An Online Mobile Survey

BACKGROUND: It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future. OBJECTIVE: The purpose of this study is to investigate the awareness of AI among Korean doctors and to assess physicians’ attitudes toward the medical application of AI. METHODS:...

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Autores principales: Oh, Songhee, Kim, Jae Heon, Choi, Sung-Woo, Lee, Hee Jeong, Hong, Jungrak, Kwon, Soon Hyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452288/
https://www.ncbi.nlm.nih.gov/pubmed/30907742
http://dx.doi.org/10.2196/12422
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author Oh, Songhee
Kim, Jae Heon
Choi, Sung-Woo
Lee, Hee Jeong
Hong, Jungrak
Kwon, Soon Hyo
author_facet Oh, Songhee
Kim, Jae Heon
Choi, Sung-Woo
Lee, Hee Jeong
Hong, Jungrak
Kwon, Soon Hyo
author_sort Oh, Songhee
collection PubMed
description BACKGROUND: It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future. OBJECTIVE: The purpose of this study is to investigate the awareness of AI among Korean doctors and to assess physicians’ attitudes toward the medical application of AI. METHODS: We conducted an online survey composed of 11 closed-ended questions using Google Forms. The survey consisted of questions regarding the recognition of and attitudes toward AI, the development direction of AI in medicine, and the possible risks of using AI in the medical field. RESULTS: A total of 669 participants completed the survey. Only 40 (5.9%) answered that they had good familiarity with AI. However, most participants considered AI useful in the medical field (558/669, 83.4% agreement). The advantage of using AI was seen as the ability to analyze vast amounts of high-quality, clinically relevant data in real time. Respondents agreed that the area of medicine in which AI would be most useful is disease diagnosis (558/669, 83.4% agreement). One possible problem cited by the participants was that AI would not be able to assist in unexpected situations owing to inadequate information (196/669, 29.3%). Less than half of the participants(294/669, 43.9%) agreed that AI is diagnostically superior to human doctors. Only 237 (35.4%) answered that they agreed that AI could replace them in their jobs. CONCLUSIONS: This study suggests that Korean doctors and medical students have favorable attitudes toward AI in the medical field. The majority of physicians surveyed believed that AI will not replace their roles in the future.
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spelling pubmed-64522882019-04-17 Physician Confidence in Artificial Intelligence: An Online Mobile Survey Oh, Songhee Kim, Jae Heon Choi, Sung-Woo Lee, Hee Jeong Hong, Jungrak Kwon, Soon Hyo J Med Internet Res Original Paper BACKGROUND: It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future. OBJECTIVE: The purpose of this study is to investigate the awareness of AI among Korean doctors and to assess physicians’ attitudes toward the medical application of AI. METHODS: We conducted an online survey composed of 11 closed-ended questions using Google Forms. The survey consisted of questions regarding the recognition of and attitudes toward AI, the development direction of AI in medicine, and the possible risks of using AI in the medical field. RESULTS: A total of 669 participants completed the survey. Only 40 (5.9%) answered that they had good familiarity with AI. However, most participants considered AI useful in the medical field (558/669, 83.4% agreement). The advantage of using AI was seen as the ability to analyze vast amounts of high-quality, clinically relevant data in real time. Respondents agreed that the area of medicine in which AI would be most useful is disease diagnosis (558/669, 83.4% agreement). One possible problem cited by the participants was that AI would not be able to assist in unexpected situations owing to inadequate information (196/669, 29.3%). Less than half of the participants(294/669, 43.9%) agreed that AI is diagnostically superior to human doctors. Only 237 (35.4%) answered that they agreed that AI could replace them in their jobs. CONCLUSIONS: This study suggests that Korean doctors and medical students have favorable attitudes toward AI in the medical field. The majority of physicians surveyed believed that AI will not replace their roles in the future. JMIR Publications 2019-03-25 /pmc/articles/PMC6452288/ /pubmed/30907742 http://dx.doi.org/10.2196/12422 Text en ©Songhee Oh, Jae Heon Kim, Sung-Woo Choi, Hee Jeong Lee, Jungrak Hong, Soon Hyo Kwon. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 25.03.2019. 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 Original Paper
Oh, Songhee
Kim, Jae Heon
Choi, Sung-Woo
Lee, Hee Jeong
Hong, Jungrak
Kwon, Soon Hyo
Physician Confidence in Artificial Intelligence: An Online Mobile Survey
title Physician Confidence in Artificial Intelligence: An Online Mobile Survey
title_full Physician Confidence in Artificial Intelligence: An Online Mobile Survey
title_fullStr Physician Confidence in Artificial Intelligence: An Online Mobile Survey
title_full_unstemmed Physician Confidence in Artificial Intelligence: An Online Mobile Survey
title_short Physician Confidence in Artificial Intelligence: An Online Mobile Survey
title_sort physician confidence in artificial intelligence: an online mobile survey
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452288/
https://www.ncbi.nlm.nih.gov/pubmed/30907742
http://dx.doi.org/10.2196/12422
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