Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care
- PMID: 37442981
- PMCID: PMC10339534
- DOI: 10.1186/s12913-023-09493-6
Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care
Abstract
Background: To date, no opinion surveys has been conducted among Russian physicians to study their awareness about artificial intelligence. With a survey, we aimed to evaluate the attitudes of stakeholders to the usage of technologies employing AI in the field of medicine and healthcare and identify challenges and perspectives to introducing AI.
Methods: We conducted a 12-question online survey using Google Forms. The survey consisted of questions related to the recognition of AI and attitudes towards it, the direction of development of AI in medicine and the possible risks of using AI in medicine.
Results: 301 doctors took part in the survey. 107 (35.6%) responded that they are familiar with AI. The vast majority of participants considered AI useful in the medical field (85%). The advantage of AI was associated with the ability to analyze huge volumes of clinically relevant data in real time (79%). Respondents highlighted areas where AI would be most useful-organizational optimization (74%), biopharmaceutical research (67%), and disease diagnosis (52%). Among the possible problems when using AI, they noted the lack of flexibility and limited application on controversial issues (64% and 60% of respondents). 56% believe that AI decision making will be difficult if inadequate information is presented for analysis. A third of doctors fear that specialists with little experience took part in the development of AI, and 89% of respondents believe that doctors should participate in the development of AI for medicine and healthcare. Only 20 participants (6.6%) responded that they agree that AI can replace them at work. At the same time, 76% of respondents believe that in the future, doctors using AI will replace those who do not.
Conclusions: Russian doctors are for AI in medicine. Most of the respondents believe that AI will not replace them in the future and will become a useful tool. First of all, for optimizing organizational processes, research and diagnostics of diseases.
Trial registration: This study was approved by the Local Ethics Committee of the Lomonosov Moscow State University Medical Research and Education Center (IRB00010587).
Keywords: AI; Artificial intelligence; Awareness; Physicians.
© 2023. The Author(s).
Conflict of interest statement
The authors declare that they have no competing interests.
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References
-
- Hastie TT, Friedman J, Tibshirani R. The Elements of Statistical Learning. New York: Springer Science & Business Media; 2009.
-
- Abu-Mostafa Y, Magdon-Ismail M, Lin HT. Learning from Data. Learning From Data: New York: AMLbook.com, 2012. р. 201. ISBN 978-1-600-49006-4.
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