Redesign of the American Board of Radiology Diagnostic Radiology Certifying Examination

Rewinding the Clock: Preparing the Next Generation of Radiology Residents for Oral Boards

The replacement of the ABR in-person oral examination with the DR certifying examination affected approximately 15,000 radiologists, spanning from 2013 to 2027. This decision was motivated by better aligning with the timing of other American Board of Medical Specialty (ABMS) members, more closely reflecting real-world practice of radiology and narrowing training geared towards the trainee's subspecialty preference. However, in retrospect, this change may have subtracted from the quality and value of diagnostic radiology training as a whole with the de-emphasis on competence in general radiology, communication skills, and cognitive reasoning. In this paper, the authors lay out a blueprint necessary in order to rewind the clock of how diagnostic radiology programs can prepare their trainees for the new DR oral examination. Such a change will require substantial redactions affecting all designations, including radiology faculty, education teams, departmental leadership, academic institutions, ACGME, and ABR. The authors believe that implementing these modifications will not only effectively equip radiology candidates for the new DR oral examination but will also augment the significance of radiologists as indispensable members of multidisciplinary teams. The authors also outline the challenges that could emerge from these changes and speculate on the anticipated role of AI in future oral board examinations.

Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health

Generative artificial intelligence (AI) tools such as GPT-4, and the chatbot interface ChatGPT, show promise for a variety of applications in radiology and health care. However, like other AI tools, ChatGPT has limitations and potential pitfalls that must be considered before adopting it for teaching, clinical practice, and beyond. We summarize five major emerging use cases for ChatGPT and generative AI in radiology across the levels of increasing data complexity, along with pitfalls associated with each. As the use of AI in health care continues to grow, it is crucial for radiologists (and all physicians) to stay informed and ensure the safe translation of these new technologies.