Perceptions and attitudes towards AI among trainee and qualified radiologists at selected South African training hospitals
Background: Artificial intelligence (AI) is transforming industries, but its adoption in healthcare, especially radiology, remains contentious. Objectives: This study evaluated the perceptions and attitudes of trainee and qualified radiologists towards the adoption of AI in practice. Method: A cro...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AOSIS
2025-01-01
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| Series: | South African Journal of Radiology |
| Subjects: | |
| Online Access: | https://sajr.org.za/index.php/sajr/article/view/3026 |
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| Summary: | Background: Artificial intelligence (AI) is transforming industries, but its adoption in healthcare, especially radiology, remains contentious.
Objectives: This study evaluated the perceptions and attitudes of trainee and qualified radiologists towards the adoption of AI in practice.
Method: A cross-sectional survey using a paper-based questionnaire was completed by trainee and qualified radiologists. Survey questions covered AI knowledge, perceptions, attitudes, and AI training in the registrar programme on a 3-point Likert scale.
Results: A total of 100 participants completed the survey; 54% were aged 26–65 years and 61% were female, with none currently using AI in daily radiology practice. The majority (78%) of participants understood the basics and knew the role of AI in radiology. Most knew about AI from media reports (77%) and majority (95%) were never involved in AI training; only 3% of participants had no knowledge of AI at all. Participants agreed that AI could reliably detect pathological conditions (89%), reach reliable diagnosis (89%), improve daily work (78%), and 89% favoured AI practice; 89% believed that in the future, machine learning will not be independent of the radiologist. Participants were willing to learn (98%) and contribute towards advancing AI software (97%) and agreed that AI will improve the registrars’ programme (97%), also noting that AI applications are as important as medical skills (87%).
Conclusion: The findings suggest AI in radiology is in its infancy, with a need for educational programmes to upskill radiologists.
Contribution: Participants were positive about AI implementation in practice and in the registrar learning programme. |
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| ISSN: | 1027-202X 2078-6778 |