Current Situation and Prospects of Education in Medical Imaging Artificial Intelligence
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8441-1_28
Reference15 articles.
1. Barreiro-Ares A, Morales-Santiago A, Sendra-Portero F, Souto-Bayarri M. Impact of the rise of artificial intelligence in radiology: what do students think? Int J Environ Res Public Health. 2023;20(2):1589.
2. Reeder K, Lee H. Impact of artificial intelligence on US medical students’ choice of radiology. Clin Imaging. 2022;81:67–71.
3. Auloge P, et al. Interventional radiology and artificial intelligence in radiology: is it time to enhance the vision of our medical students? Insights Imaging. 2020;11:127.
4. Simpson SA, Cook TS. Artificial intelligence and the trainee experience in radiology. J Am Coll Radiol. 2020;17:1388–93.
5. van de Venter R, et al. Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study. Insights Imaging. 2023;14:25.
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