Exploring Medical Students' and Faculty's Perception on Artificial Intelligence and Robotics. A Questionnaire Survey
Open accessAbstract
Over the last decade, the emerging fields of artificial intelligence (AI) and robotics have been introduced in medicine, gaining much attention.This study aims to assess the insight of medical students and faculty regarding AI and robotics in medicine.A cross-sectional study was conducted among medical students and faculty of the University of Nicosia.An online questionnaire was used to evaluate medical students' and faculty's prior knowledge and perceptions toward AI and robotics.Data analysis was carried out using SPSS software, and the statistical significance was assumed as p value < 0.05.Three hundred eighty-seven medical students and 23 faculty responded to the questionnaire.Students who were "familiar" with AI and robotics stated that these breakthrough technologies make them more enthusiastic about working in their speciality of interest (p value = 0.012).Also, students (59.9%) and faculty (47.8%) agreed that physician's opinion should be followed when doctors' and AI's judgment differ and that the doctor in charge should be liable for possible AI's mistakes (38.8% students: 47.7% faculty).Although the most significant drawback of AI and robotics in healthcare is the dehumanization of medicine (54.5% students; 47.8% faculty), most participants (77.6% students; 78.2% faculty) agreed that medical schools should include in their curriculum AI and robotics by offering relevant courses (39.5% students; 52.2% faculty).Medical students and faculty are not anxious about the advancements of AI and robotics in medicine.Medical schools should take the lead and introduce AI and robotics in undergraduate medical curricula because the new era needs fully aware healthcare providers with better insight regarding these concepts.
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Sassis et al. (2021) demonstrated that almost 80% of medical academics surveyed felt that AI should be embedded in the curriculum.
“Sassis et al. (2021) demonstrated that almost 80% of medical academics surveyed felt that AI should be embedded in the curriculum”
From A systematic literature review of attitudes, intentions and behaviours of teaching academics pertaining to AI and generative AI (GenAI) in higher education: An analysis of GenAI adoption using the UTAUT framework (2024) · cites this paper as Sassis et al. (2021)
Students familiar with AI tended to show more optimistic and passionate attitudes toward AI-related work than their counterparts.
“Subsequently, students familiar with AI tended to show more optimistic and passionate attitudes toward AI-related work than their counterparts [13].”
From Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions (2022) · cites this paper as [13]
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“Sassis et al. (2021) demonstrated that almost 80% of medical academics surveyed felt that AI should be embedded in the curriculum, and Wood et al. (2021) showed that medical academics were more likely to report positive attitudes to the use of AI in medical teaching.”
- Authors
- Sassis, L., Kefala-Karli, P., Sassi, M., & Zervides, C.
- Affiliations
- University of Nicosia (CY)
- Corresponding author
- Zervides, Constantinos
- Venue
- Journal of Artificial Intelligence for Medical Sciences
- Publisher
- Nexus Press B. V.
- Published
- 2021
- Volume
- 2
- Issue
- 1-2
- Pages
- 76-84
- ISSN
- 2666-1470 (ISSN-L)
- OpenAlex
- W3174844187
- Cited by
- 26
- References
- 25
- Citations by year
- 2026: 9 · 2025: 5 · 2024: 9 · 2022: 3
- FWCI
- 0.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Artificial Intelligence for Medical Sciences (publishedVersion, cc-by-nc)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence in healthcare, medical robotics, medical students' perceptions, teacher perceptions, AI liability, dehumanization of medicine, AI integration in curriculum, undergraduate medical curriculum
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