⚡ Quick Summary
A recent global survey involving 4,596 students from medical, dental, and veterinary faculties across 48 countries revealed a strong interest in artificial intelligence (AI) in healthcare education. Despite their positive attitudes towards AI, students reported limited knowledge and a significant lack of AI courses in their curricula.
🔍 Key Details
- 📊 Participants: 4,596 students (4313 medical, 205 dental, 78 veterinary)
- 🌍 Regions: 48 countries, predominantly from Europe (51.1%)
- 📝 Survey Structure: 16 multiple-choice items, 8 demographic questions, and a free-field comment section
- 📈 Analysis Methods: Descriptive statistics, Mann-Whitney U-test, Kruskal-Wallis test
🔑 Key Takeaways
- 💡 Positive Attitudes: Students expressed a median score of 4 (IQR: 3-4) regarding AI in healthcare.
- 📚 Desire for Education: A median score of 4 (IQR: 4-5) indicated a strong desire for more AI teaching.
- 📉 Limited Knowledge: AI knowledge was rated low, with a median score of 2 (IQR: 2-2).
- 🚫 Lack of Courses: 76.3% of students reported no AI courses available in their programs.
- 😟 Feeling Unprepared: Students felt unprepared to use AI in their future careers, scoring a median of 2 (IQR: 1-3).
- 🌐 Regional Differences: Significant differences in perceptions were noted between Global North and South (P < .001).
- 📊 Effect Sizes: Generally small effect sizes were observed across continents (r = 0.301 to 0.531, P < .001).
📚 Background
The integration of artificial intelligence (AI) into healthcare is increasingly recognized as essential for improving patient outcomes and operational efficiency. However, the successful adoption of AI technologies hinges on the preparedness and attitudes of future healthcare professionals. Understanding students’ perspectives on AI in their education and practice is crucial for shaping curricula that meet the evolving demands of the healthcare landscape.
🗒️ Study
This study utilized an anonymous online survey developed through a comprehensive literature review and expert panel discussions. The survey aimed to assess students’ knowledge of AI, their attitudes towards its application in healthcare, the current state of AI education, and their preferences for AI teaching methods. The diverse participant pool included students from medical, dental, and veterinary faculties worldwide, providing a broad perspective on the issue.
📈 Results
The findings revealed that while students generally hold positive views towards AI in healthcare, their actual knowledge of the subject is lacking. The survey highlighted a significant gap in AI education, with a majority of students expressing a desire for more comprehensive training. The analysis also uncovered notable regional differences in attitudes and educational needs, emphasizing the necessity for tailored educational approaches.
🌍 Impact and Implications
The results of this survey underscore the urgent need for integrating AI education into medical, dental, and veterinary curricula. By addressing the current educational gaps and considering regional differences, educational institutions can better prepare students for the future of healthcare. This proactive approach could enhance the overall quality of care and ensure that new professionals are equipped to leverage AI technologies effectively.
🔮 Conclusion
This large-scale international survey highlights the positive perceptions of AI among students in healthcare fields, alongside a clear demand for enhanced education in this area. As AI continues to transform healthcare, it is imperative that educational institutions respond by incorporating relevant training into their programs. The future of healthcare education must embrace AI to prepare students for the challenges and opportunities that lie ahead.
💬 Your comments
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Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties.
Abstract
BACKGROUND: The successful integration of artificial 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 differences 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-field 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 significant differences 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 effect 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 identifies a need for integrating AI education into medical curricula, considering regional differences in perceptions and educational needs.
TRIAL REGISTRATION: Not applicable (no clinical trial).
Author: [‘Busch F’, ‘Hoffmann L’, ‘Truhn D’, ‘Ortiz-Prado E’, ‘Makowski MR’, ‘Bressem KK’, ‘Adams LC’, ‘COMFORT Consortium’]
Journal: BMC Med Educ
Citation: Busch F, et al. Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties. Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties. 2024; 24:1066. doi: 10.1186/s12909-024-06035-4