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Perceptions of Canadian radiation oncologists, radiation physicists, radiation therapists and radiation trainees about the impact of artificial intelligence in radiation oncology – national survey
- Source :
- Journal of Medical Imaging and Radiation Sciences. 52:44-48
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Background Artificial Intelligence (AI) is making a continuous progression into the field of Radiation Oncology in Canada and globally. While this field continues to evolve, there is no clear understanding about how radiation oncologists, radiation therapists, medical physicists and radiation trainees perceive AI and its’ impact on radiation oncology as a discipline. The purpose of this study was to investigate the perception of these four Canadian professional groups about AI. and how AI will affect radiation oncology as a specialty. Methods Following an in-depth scientific review of the existing literature, a 29 Likert-scale questionnaire was developed using Google Survey. The questionnaire was piloted and distributed through national organizations including the Canadian Association for Radiation Oncology (CARO), the Canadian Association of Medical Radiation Therapy (CAMRT) and the Canadian Organization of Medical Physicists (COMP), initially in February, and again between March and June 2020. The results were analyzed using descriptive statistics. Results 159 responses were received from 10 Canadian provinces. Knowledge about AI was moderate with an average of 5/10, but 91% responded interest in learning more about it. The negative implications of AI were related to fear of losing jobs and shift of practice. The majority of participants agreed AI would positively impact on patient treatment. Conclusion Radiation oncology professionals believe AI will be an important part of patient treatment in their future practices. The fear about AI may be mitigated with further education programs about AI, which can gain more confidence in the acceptance of AI.
- Subjects :
- Adult
Male
Further education
Canada
Attitude of Health Personnel
media_common.quotation_subject
Allied Health Personnel
Specialty
030218 nuclear medicine & medical imaging
Medical physicist
03 medical and health sciences
0302 clinical medicine
Artificial Intelligence
Surveys and Questionnaires
Perception
Radiation oncology
Humans
Radiology, Nuclear Medicine and imaging
Patient treatment
Aged
media_common
Radiological and Ultrasound Technology
Descriptive statistics
Radiation Therapist
business.industry
Radiation Oncologists
Middle Aged
030220 oncology & carcinogenesis
Radiation Oncology
Female
Artificial intelligence
Psychology
business
Subjects
Details
- ISSN :
- 19398654
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- Journal of Medical Imaging and Radiation Sciences
- Accession number :
- edsair.doi.dedup.....3cd5f7843c0371e6984a76c78b8e5817