Liu David Shalom, Abu-Shaban Kamil, Halabi Safwan S, Cook Tessa Sundaram
University of Toledo College of Medicine and Life Sciences, Toledo, OH, United States.
Department of Medical Imaging, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, United States.
JMIR Med Educ. 2023 Mar 20;9:e43415. doi: 10.2196/43415.
The role of artificial intelligence (AI) in radiology has grown exponentially in the recent years. One of the primary worries by medical students is that AI will cause the roles of a radiologist to become automated and thus obsolete. Therefore, there is a greater hesitancy by medical students to choose radiology as a specialty. However, it is in this time of change that the specialty needs new thinkers and leaders. In this succinct viewpoint, 2 medical students involved in AI and 2 radiologists specializing in AI or clinical informatics posit that not only are these fears false, but the field of radiology will be transformed in such a way due to AI that there will be novel reasons to choose radiology. These new factors include greater impact on patient care, new space for innovation, interdisciplinary collaboration, increased patient contact, becoming master diagnosticians, and greater opportunity for global health initiatives, among others. Finally, since medical students view mentorship as a critical resource when deciding their career path, medical educators must also be cognizant of these changes and not give much credence to the prevalent fearmongering. As the field and practice of radiology continue to undergo significant change due to AI, it is urgent and necessary for the conversation to expand from expert to expert to expert to student. Medical students should be encouraged to choose radiology specifically because of the changes brought on by AI rather than being deterred by it.
近年来，人工智能（AI）在放射学领域的作用呈指数级增长。医学生主要担忧之一是AI会使放射科医生的工作自动化，从而过时。因此，医学生在选择放射学作为专业时更加犹豫不决。然而，正是在这个变革时期，该专业需要新的思考者和领导者。在这篇简洁的观点文章中，两名参与AI研究的医学生以及两名专门从事AI或临床信息学的放射科医生认为，这些担忧不仅毫无根据，而且由于AI，放射学领域将发生变革，从而会有新的理由选择放射学。这些新因素包括对患者护理产生更大影响、创新的新空间、跨学科合作、增加与患者的接触、成为诊断大师以及参与全球健康倡议的更多机会等等。最后，由于医学生在决定职业道路时将导师指导视为关键资源，医学教育工作者也必须认识到这些变化，不要轻信普遍存在的危言耸听。随着放射学领域和实践因AI而持续经历重大变革，将对话从专家扩展到专家再到学生变得紧迫且必要。应该鼓励医学生因为AI带来的变化而选择放射学，而不是被其阻碍。
