Julie Burbery
Queensland University of Technology
12 Papers
8 Citations
Julie Burbery is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Image-guided radiation therapy & Inclusion (mineral). The author has an hindex of 3, co-authored 10 publications.
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Papers
The Impact of Artificial Intelligence and Machine Learning in Radiation Therapy: Considerations for Future Curriculum Enhancement
TL;DR: Recommendations and suggestions to deliberately embed AI and ML aspects in RT education to empower future RT practitioners are made.
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The Application of the Virtual Environment for Radiotherapy Training to Strengthen IGRT Education.
TL;DR: The use of the Virtual Environment for Radiotherapy Training (VERT) in supporting teaching on image-guided radiation therapy (IGRT) and image matching concepts and the authors encourage the utilization of technology that provides students with hands-on skills so they are better prepared for clinical environments.
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Leadership in the radiation therapy profession: The importance of understanding the potential benefits and theoretical perspectives.
TL;DR: A higher priority should be placed on developing leadership in the Radiation Therapist (RT) workforce and educating new graduates of the potential benefits of leadership.
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Implementing and integrating a radiation oncology information system as a pedagogical tool for undergraduate radiation therapy training
TL;DR: The application of MOSAIQ OIS could potentially transform teaching and learning strategies for student radiation therapists by providing students with an opportunity to learn two-dimensional image matching through the use of digitally reconstructed radiographs and electronic portal images.
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The implementation of MOSAIQ‐based image‐guided radiation therapy image matching within radiation therapy education
TL;DR: It is outlined how MOSAIQ oncology information systems (OIS) have enabled the university to embed hands‐on IGRT image matching on a range of clinical cases and students are likely to benefit from critical image assessment and decision‐making as well as the improved engagement in teaching and learning.
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