Abstract
Purpose To examine how artificial intelligence (AI) is influencing the roles, responsibilities, and career trajectories of radiologic technologists by identifying emerging challenges and opportunities associated with AI integration in medical imaging.
Method A systematic literature review was conducted using PubMed and CINAHL to identify peer-reviewed studies published between 2016 and 2026. Eligible studies examined AI applications in medical imaging and their effects on workforce roles, education, collaboration, and professional practice. Findings were synthesized using thematic analysis.
Results Three primary themes emerged: (a) workflow efficiency and protocol optimization through AI-assisted imaging processes; (b) professional skill development and evolving responsibilities related to AI oversight, quality assurance, and interdisciplinary collaboration; and (c) ethical considerations and patient-centered care, including concerns regarding automation bias, data governance, cybersecurity, and algorithmic fairness.
Discussion The findings suggest that AI is reshaping radiologic technology by shifting technologists' roles from primarily technical task execution toward greater responsibility for AI oversight, clinical decision support, and quality management. Although AI offers opportunities to improve efficiency, image quality, and professional growth, successful implementation depends on formal AI education, ethical governance, and continued human oversight to ensure safe, equitable, and patient-centered care.
Conclusion AI is changing the radiologic technology profession by creating new opportunities for career development while introducing important educational, ethical, and implementation challenges. Continued research and investment in AI competency and workforce development are essential to support successful integration into clinical practice.
DOI
https://doi.org/10.52519/00260
Graduation Date
Summer 8-7-2026
Document Type
Poster
Degree Name
Master of Science in Radiologic Science
Program
The School of Health Professions
Faculty Advisor
Kevin R. Clark
Director, Graduate Program
William A. Undie
Dean
Kimberly Hoggatt Krumwiede
Recommended Citation
Esquivel, C. Impact of Artificial Intelligence on the Roles and Career Trajectories of Radiologic Technologists. [poster]. University of Texas MD Anderson Cancer Center; 2026. https://doi.org/10.52519/00260
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