Abstract
ObjectiveTo evaluate the impact of artificial intelligence (AI) on undergraduate medical students’ choice of radiology as a specialty.Materials and MethodsIn February 2019, an anonymous online survey was sent to medical students. The research contemplated questions on how much students think they know about AI technologies, how much AI discourages them from choosing radiology as a specialty, and whether they believe there is a threat to the radiology job market.ResultsA total of 101 students, most of them doing their internship, answered the questionnaire. More than half of them (52.5%) said they believe AI poses a threat to the radiology job market, but 64.3% claimed not to have proper knowledge about these new technologies, and 31.7% said they would like more information on the technologies’ operation and progress before making a decision on whether or not to practice radiology as a specialty.ConclusionA significant proportion of the surveyed students perceive AI as a threat to the radiological practice, which impacts their career choice. However, the majority claims to have insufficient knowledge of it and believes more information is needed for decision-making.
Highlights
Choosing a specialty is one of the crucial moments in the career of a medical student—a moment of doubt, reflection, and self-knowledge
The research contemplated questions on how much students think they know about artificial intelligence (AI) technologies, how much AI discourages them from choosing radiology as a specialty, and whether they believe there is a threat to the radiology job market
The link between the medical student and choice of radiology as a specialty has been discussed in the academic environment, mainly due to the development of new artificial intelligence (AI) technologies, which many consider potentially disruptive, to the point of changing the way we know and practice radiology(2–5)
Summary
Choosing a specialty is one of the crucial moments in the career of a medical student—a moment of doubt, reflection, and self-knowledge. The choice is intuitive; for others, it needs to be well and carefully thought out, because it is affinity that plays a part in one’s choice of a career. The student takes several factors into account, such as the job market, desired lifestyle, field of study, and growth prospects for the specialty in the academy, among others(1). The link between the medical student and choice of radiology as a specialty has been discussed in the academic environment, mainly due to the development of new artificial intelligence (AI) technologies, which many consider potentially disruptive, to the point of changing the way we know and practice radiology(2–5). Programs based on deep learning are the focus of several research projects world-
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