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Current Topics in Learning and Development in Radiology: AJR Expert Panel Narrative Review
Andrew K Moriarity1,2, Shlomit Goldberg-Stein3, Tessa S Cook4
1Advanced Radiology Services PC, Grand Rapids, MI.
Radiology education faces challenges from increased workloads and new technologies like AI. This review offers guidance for improving training and lifelong learning in diagnostic imaging.
Area of Science:
- Medical Education
- Radiology
- Professional Development
Background:
- Radiology learning and development are impacted by rising imaging volumes, workforce shortages, subspecialization, and hybrid practice models.
- These pressures reduce protected time for essential training activities like case-based teaching and deliberate practice.
- Emerging educational platforms and AI present both opportunities and challenges for professional growth.
Purpose of the Study:
- To examine how converging trends are reshaping radiology learning and development.
- To provide consensus guidance for enhancing educational quality and diagnostic excellence.
- To support professional growth in contemporary radiology practice.
Main Methods:
- Expert Panel Narrative Review.
- Analysis of current trends in radiology education.
- Synthesis of challenges and opportunities in professional development.
Main Results:
- Increased demands on radiologists' time threaten traditional educational methods.
- Virtual and asynchronous platforms offer wider access but pose engagement and quality control issues.
- Generative AI and large language models introduce new educational tools alongside concerns about accuracy and bias.
Conclusions:
- Converging trends necessitate adaptation in radiology learning and development.
- Guidance is needed to strengthen educational quality amidst practice changes.
- Sustaining diagnostic excellence requires proactive strategies for professional growth.
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