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Artificial intelligence in radiology: who's afraid of the big bad wolf?
Benoit Gallix1,2, Jaron Chong3,4
1Department of Diagnostic Radiology, McGill University, Montreal, QC, Canada. Benoit.gallix@mcgill.ca.
Abstract:
This Editorial comment refers to the article "Medical students' attitude towards artificial intelligence: a multicenter survey," Pinto Dos Santos D, et al Eur Radiol 2018. KEY POINTS: • Medical students are not well informed of the potential consequences of AI in radiology. • The fundamental principles of AI-as well as its application in medicine-must be taught in medical schools. • The radiologist specialty must actively reflect on how to validate, approve, and integrate AI algorithms into our clinical practices.

