Crispen Chamunyonga
Queensland University of Technology
23 Papers
24 Citations
Crispen Chamunyonga is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Medicine & Radiation Therapist. The author has an hindex of 4, co-authored 21 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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Strategies to develop student support mechanisms in medical radiation sciences clinical education.
TL;DR: There is a need to re-emphasize the importance of developing strategies to support students in clinical education and identify associated risk factors early as they can impact on the quality of education and in severe cases be detrimental to students' psychological well-being.
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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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The role of deliberate practice in development of essential sonography skills
Christopher Edwards,Crispen Chamunyonga,Jillian L. Clarke +2 more
- 01 Jun 2018
TL;DR: The role of deliberate practice (DP) theory in the development of expert performance has been widely studied as mentioned in this paper, with the primary aim of improving the quality of patient care in sonography practice.
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The application of artificial intelligence in the sonography profession: Professional and educational considerations
TL;DR: In this article , the authors investigated how AI may influence the profession of sonography and provided examples of how ultrasound imaging may be enhanced and innovated by integrating AI technology, highlighting challenges related to the application of AI and providing insight into how they could be addressed.
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