The future of radiology education and training: a vision for future training models

Hiba Khan; Shahin Anjum; M. Arfat

doi:10.18203/2320-6012.ijrms20263576

Authors

Hiba Khan Paramedical College,Faculty of Medicine- Aligarh Muslim University, Aligarh, India
Shahin Anjum Paramedical College,Faculty of Medicine- Aligarh Muslim University, Aligarh, India
M. Arfat Medical Radiology and Imaging Technology, Faculty of Medicine, Paramedical College, Aligarh Muslim University (AMU), Aligarh, India

DOI:

https://doi.org/10.18203/2320-6012.ijrms20263576

Keywords:

Radiology education, Competency-based training, Artificial intelligence, Simulation and VR/AR, Future skill development

Abstract

This article discusses the history and future direction of radiology education and training. Beginning with the historical progression from Röntgen’s discovery to the digital era, it highlights the limitations of traditional apprenticeship models and the need for competency-based learning. Education today focuses on the incorporation of simulation, AI, VR/AR, and teleradiology, revolutionising how radiologists learn technical as well as decision-making skills. Some of the key issues are workforce shortages, differences in training, burnout and lagging adoption of innovations. The paper also explores evolving skill needs data analysis, communication, ethics, and collaboration as essential competencies for contemporary radiologists. It proposes a personalised and technology-driven curriculum supported by global collaboration, continuous faculty development, and standardised accreditation. In conclusion, the research provides that the future of radiology education is in integrating technological innovation with human-centred care, developing flexible, reflective professionals who can excel in an AI-integrated healthcare setting.

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