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Dataset Information

Interventional radiology and artificial intelligence in radiology: Is it time to enhance the vision of our medical students?


ABSTRACT:

Objectives

To assess awareness and knowledge of Interventional Radiology (IR) in a large population of medical students in 2019.

Methods

An anonymous survey was distributed electronically to 9546 medical students from first to sixth year at three European medical schools. The survey contained 14 questions, including two general questions on diagnostic radiology (DR) and artificial intelligence (AI), and 11 on IR. Responses were analyzed for all students and compared between preclinical (PCs) (first to third year) and clinical phase (Cs) (fourth to sixth year) of medical school. Of 9546 students, 1459 students (15.3%) answered the survey.

Results

On DR questions, 34.8% answered that AI is a threat for radiologists (PCs: 246/725 (33.9%); Cs: 248/734 (36%)) and 91.1% tho

SUBMITTER: Auloge P 

PROVIDER: S-EPMC7704872 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature