Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2021 Dec 24:9:795284.
doi: 10.3389/fpubh.2021.795284. eCollection 2021.

Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception

Affiliations
Multicenter Study

Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception

Sotirios Bisdas et al. Front Public Health. .

Abstract

Background: The emerging field of artificial intelligence (AI) will probably affect the practice for the next generation of doctors. However, the students' views on AI have not been largely investigated. Methods: An anonymous electronic survey on AI was designed for medical and dental students to explore: (1) sources of information about AI, (2) AI applications and concerns, (3) AI status as a topic in medicine, and (4) students' feelings and attitudes. The questionnaire was advertised on social media platforms in 2020. Security measures were employed to prevent fraudulent responses. Mann-Whitney U-test was employed for all comparisons. A sensitivity analysis was also performed by binarizing responses to express disagreement and agreement using the Chi-squared test. Results: Three thousand one hundred thirty-three respondents from 63 countries from all continents were included. Most respondents reported having at least a moderate understanding of the technologies underpinning AI and of their current application, with higher agreement associated with being male (p < 0.0001), tech-savvy (p < 0.0001), pre-clinical student (p < 0.006), and from a developed country (p < 0.04). Students perceive AI as a partner rather than a competitor (72.2%) with a higher agreement for medical students (p = 0.002). The belief that AI will revolutionize medicine and dentistry (83.9%) with greater agreement for students from a developed country (p = 0.0004) was noted. Most students agree that the AI developments will make medicine and dentistry more exciting (69.9%), that AI shall be part of the medical training (85.6%) and they are eager to incorporate AI in their future practice (99%). Conclusion: Currently, AI is a hot topic in medicine and dentistry. Students have a basic understanding of AI principles, a positive attitude toward AI and would like to have it incorporated into their training.

Keywords: artificial intelligence; dental students; medical students; medicine; survey.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Inclination of medical and dental students to incorporate artificial intelligence in their future medical practice.

Similar articles

Cited by

References

    1. Amisha, Malik P, Pathania M, Rathaur V. Overview of artificial intelligence in medicine. J Fam Med Primary Care. (2019) 8:2328–31. 10.4103/jfmpc.jfmpc_440_19 - DOI - PMC - PubMed
    1. Taulli T. Artificial Intelligence Basics: A Non-Technical Introduction. 1 ed. Berkeley, CA: Apress; (2019). 10.1007/978-1-4842-5028-0_1 - DOI
    1. Carlos RC, Kahn CE, Halabi S. Data science: big data, machine learning, and artificial intelligence. J Am College Radiol. (2018) 15:497–8. 10.1016/j.jacr.2018.01.029 - DOI - PubMed
    1. Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJWL. Artificial intelligence in radiology. Nat Rev Cancer. (2018) 18:500–10. 10.1038/s41568-018-0016-5 - DOI - PMC - PubMed
    1. Chang HY, Jung CK, Woo JI, Lee S, Cho J, Kim SW, et al. . Artificial intelligence in pathology. J Pathol Transl Med. (2019) 53:1–12. 10.4132/jptm.2018.12.16 - DOI - PMC - PubMed

Publication types

LinkOut - more resources