Abstract
Radiology faces several serious challenges: the mass hysteria on AI, the ever-increasing workload, the growth and ageing of the general population, the ageing of the radiology workforce, the limitation of the number of radiologists in training, the declining interest of medical students, … Therefore, it is of the utmost importance to promote or ‘brand’ radiology to medical students. This can be done, among other things, by expressing enthusiasm and positivity for radiology in order to become an inspiration and role model. Moreover, it is very important to actively engage students during their rotation in the radiology department. The future of radiology needs to be assured today!
Highlights
Radiology faces several serious challenges: the mass hysteria on artificial intelligence (AI), the ever-increasing workload, the growth and ageing of the general population, the ageing of the radiology workforce, the limitation of the number of radiologists in training, the declining interest of medical students
Be denied that AI will have a huge impact on radiology, but it won’t replace radiologists who are willing to embrace it
There is the ever-increasing workload. This is illustrated by McDonald et al, who studied the effect of changes in utilization and advances in cross-sectional imaging on the radiologists’ workloads in their departments between 1999 and 2010
Summary
Radiology faces several serious challenges: the mass hysteria on AI, the ever-increasing workload, the growth and ageing of the general population, the ageing of the radiology workforce, the limitation of the number of radiologists in training, the declining interest of medical students,. Over the past few years, the rise of artificial intelligence (AI) has changed the public perception of the future of radiology tremendously. Be denied that AI will have a huge impact on radiology, but it won’t replace radiologists who are willing to embrace it. In the coming years, radiologists will face more and more difficulties in their day-to-day practice in terms of workload.
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