Developing a curriculum in artificial intelligence for emergency radiology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Emergency Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10140-020-01795-0.pdf
Reference7 articles.
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2. Gong B, Nugent JP, Guest W, Parker W, Chang PJ, Khosa F, Nicolaou S (2019) Influence of artificial intelligence on Canadian medical students’ preference for radiology specialty: a National Survey Study. Acad Radiol 26(4):566–577
3. Pinto Dos Santos D, Giese D, Brodehl S, Chon SH, Staab W, Kleinert R et al (2019) Medical students’ attitude towards artificial intelligence: a multicenter survey. Eur Radiol 29(4):1640–1646
4. Gallix B, Chong J (2019) Artificial intelligence in radiology: who’s afraid of the big bad wolf? Eur Radiol 29(4):1637–1639
5. van Hoek J, Huber A, Leichtle A, Härmä K, Hilt D, von Tengg-Kobligk H, Heverhagen J, Poellinger A (2019) A survey on the future of radiology among radiologists, medical students and surgeons: students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over. Eur J Radiol 121:108742
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