Publication
Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties
| dc.contributor.author | Busch, Felix | |
| dc.contributor.author | Hoffmann, Lena | |
| dc.contributor.author | Truhn, Daniel | |
| dc.contributor.author | Ortiz-Prado, Esteban | |
| dc.contributor.author | Makowski, Marcus R. | |
| dc.contributor.author | Bressem, Keno K. | |
| dc.contributor.author | Adams, Lisa C. | |
| dc.contributor.author | COMFORT consortium | |
| dc.date.accessioned | 2024-11-04T22:35:33Z | |
| dc.date.available | 2024-11-04T22:35:33Z | |
| dc.date.issued | 2024-09-28 | en_US |
| dc.date.updated | 2024-11-02T14:10:17Z | |
| dc.description.abstract | Background The successful integration of artifcial intelligence (AI) in healthcare depends on the global perspectives of all stakeholders. This study aims to answer the research question: What are the attitudes of medical, dental, and veterinary students towards AI in education and practice, and what are the regional diferences in these perceptions? Methods An anonymous online survey was developed based on a literature review and expert panel discussions. The survey assessed students’ AI knowledge, attitudes towards AI in healthcare, current state of AI education, and preferences for AI teaching. It consisted of 16 multiple-choice items, eight demographic queries, and one free-feld comment section. Medical, dental, and veterinary students from various countries were invited to participate via faculty newsletters and courses. The survey measured technological literacy, AI knowledge, current state of AI education, preferences for AI teaching, and attitudes towards AI in healthcare using Likert scales. Data were analyzed using descriptive statistics, Mann–Whitney U-test, Kruskal–Wallis test, and Dunn-Bonferroni post hoc test. Results The survey included 4313 medical, 205 dentistry, and 78 veterinary students from 192 faculties and 48 countries. Most participants were from Europe (51.1%), followed by North/South America (23.3%) and Asia (21.3%). Students reported positive attitudes towards AI in healthcare (median: 4, IQR: 3–4) and a desire for more AI teaching (median: 4, IQR: 4–5). However, they had limited AI knowledge (median: 2, IQR: 2–2), lack of AI courses (76.3%), and felt unprepared to use AI in their careers (median: 2, IQR: 1–3). Subgroup analyses revealed signifcant diferences between the Global North and South (r=0.025 to 0.185, all P<.001) and across continents (r=0.301 to 0.531, all P<.001), with generally small efect sizes. Conclusions This large-scale international survey highlights medical, dental, and veterinary students’ positive perceptions of AI in healthcare, their strong desire for AI education, and the current lack of AI teaching in medical curricula worldwide. The study identifes a need for integrating AI education into medical curricula, considering regional diferences in perceptions and educational needs. Trial registration Not applicable (no clinical trial) | eng |
| dc.description.sponsorship | Open Access funding enabled and organized by Projekt DEAL. This research is funded by the European Union (COMFORT (Computational Models FOR patienT stratifcation in urologic cancers – Creating robust and trustworthy multimodal AI for health care), project number: 101079894. | |
| dc.description.version | info:eu-repo/semantics/publishedVersion | |
| dc.identifier.doi | 10.1186/s12909-024-06035-4 | en_US |
| dc.identifier.issn | 1472-6920 | en_US |
| dc.identifier.slug | cv-prod-4184979 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/26202 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | BMC | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Artificial intelligence | |
| dc.subject | Students | |
| dc.subject | Medical | |
| dc.subject | Education | |
| dc.subject | Cross-sectional studies | |
| dc.subject | Curriculum | |
| dc.subject | Surveys and questionnaire | |
| dc.title | Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 1 | en_US |
| oaire.citation.startPage | 1066 | |
| oaire.citation.title | BMC Medical Education | en_US |
| oaire.citation.volume | 24 | en_US |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| rcaap.cv.cienciaid | 0113-F406-B03C | Rui Pedro Pereira de Almeida | |
| rcaap.rights | openAccess | en_US |