Perceptions and attitudes towards AI among trainee and qualified radiologists at selected South African training hospitals.

IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

SA Journal of Radiology Pub Date : 2025-01-10 eCollection Date: 2025-01-01 DOI:10.4102/sajr.v29i1.3026

Ayanda I Nciki, Linda T Hlabangana

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引用次数: 0

Abstract

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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在选定的南非培训医院实习和合格放射科医生对人工智能的看法和态度。

背景：人工智能（AI）正在改变行业，但其在医疗保健，特别是放射学中的应用仍存在争议。目的：本研究评估了实习医师和合格放射科医师在实践中对采用人工智能的看法和态度。方法：对实习医师和合格放射科医师采用纸质问卷进行横断面调查。调查问题包括注册商项目中的人工智能知识、认知、态度和人工智能培训，分为3分李克特量表。结果：共100人完成调查；54%的患者年龄在26-65岁之间，61%为女性，目前没有人在日常放射学实践中使用人工智能。大多数（78%）的参与者了解基本知识，并知道人工智能在放射学中的作用。大多数人（77%）从媒体报道中了解人工智能，大多数人（95%）从未参与过人工智能培训；只有3%的参与者完全不了解人工智能。参与者同意人工智能可以可靠地检测病理状况（89%），达到可靠的诊断（89%），改善日常工作（78%），89%的人赞成人工智能实践；89%的人认为，未来机器学习将不会独立于放射科医生。与会者愿意学习（98%）并为推进人工智能软件做出贡献（97%），并同意人工智能将改善注册商的计划（97%），还指出人工智能应用与医疗技能一样重要（87%）。结论：研究结果表明，人工智能在放射学领域尚处于起步阶段，需要通过教育项目来提高放射科医生的技能。贡献：与会者对人工智能在实践和注册学习计划中的应用持积极态度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SA Journal of Radiology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

1.20

自引率

11.10%

发文量

审稿时长

16 weeks

期刊介绍： The SA Journal of Radiology is the official journal of the Radiological Society of South Africa and the Professional Association of Radiologists in South Africa and Namibia. The SA Journal of Radiology is a general diagnostic radiological journal which carries original research and review articles, pictorial essays, case reports, letters, editorials, radiological practice and other radiological articles.