ArticleInternational journal of environmental research and public health2023
Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think?
Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis.JMIR medical education · 2026Pooled it
- Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis.BMC medical education · 2024Pooled it
- AI Literacy Among Chinese Medical Students: Cross-Sectional Examination of Individual and Environmental Factors.JMIR medical education · 2026Article
- AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey.Radiology research and practice · 2026Article
- Global perspectives of ophthalmologists on artificial intelligence adoption in clinical practice.International journal of retina and vitreous · 2025Article
- Medical undergraduate students' awareness and perspectives on artificial intelligence: A developing nation's context.BMC medical education · 2025Article
- Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review.EClinicalMedicine · 2025Article
- Health Care Professionals' Concerns About Medical AI and Psychological Barriers and Strategies for Successful Implementation: Scoping Review.Journal of medical Internet research · 2025Article
- Navigating the AI Revolution in Medicine-Adopting Strategies for Medical Education.Medical science educator · 2025Article
- Artificial Intelligence and ChatGPT in Medical Education: A Cross-Sectional Questionnaire on students' Competence.Journal of CME · 2025Article
- Attitude of aspiring orthopaedic surgeons towards artificial intelligence: a multinational cross-sectional survey study.Archives of orthopaedic and trauma surgery · 2024Article
- Radiologic Technology Students' Perceptions on Adoption of Artificial Intelligence Technology in Radiology.International journal of general medicine · 2024Article
- The Language of Nature and Artificial Intelligence in Patient Care.International journal of environmental research and public health · 2023Article
- Artificial intelligence in healthcare: A cross-sectional study among students of a medical college in Jaipur, India.Perspectives in clinical researchArticle
- Awareness, Perceptions, and Concerns among medical students regarding Artificial Intelligence integration in Healthcare: A Comprehensive Analysis.Nigerian medical journal : journal of the Nigeria Medical AssociationReview
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rise of artificial intelligence (AI) in medicine, and particularly in radiology, is becoming increasingly prominent. Its impact will transform the way the specialty is practiced and the current and future education model. The aim of this study is to analyze the perception that undergraduate medical students have about the current situation of AI in medicine, especially in radiology. A survey with 17 items was distributed to medical students between 3 January to 31 March 2022. Two hundred and eighty-one students correctly responded the questionnaire; 79.3% of them claimed that they knew what AI is. However, their objective knowledge about AI was low but acceptable. Only 24.9% would choose radiology as a specialty, and only 40% of them as one of their first three options. The applications of this technology were valued positively by most students, who give it an important Support Role, without fear that the radiologist will be replaced by AI (79.7%). The majority (95.7%) agreed with the need to implement well-established ethical principles in AI, and 80% valued academic training in AI positively. Surveyed medical students have a basic understanding of AI and perceive it as a useful tool that will transform radiology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.