一项定性研究,探讨沙特阿拉伯放射科医生关于基于人工智能的应用及其对放射学未来的影响的意见。

BJR open Pub Date : 2022-01-01 DOI:10.1259/bjro.20210029
Walaa Alsharif, Abdulaziz Qurashi, Fadi Toonsi, Ali Alanazi, Fahad Alhazmi, Osamah Abdulaal, Shrooq Aldahery, Khalid Alshamrani
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引用次数: 4

摘要

目的:本研究的目的是探讨沙特阿拉伯放射科医生(包括顾问和实习生)对放射学人工智能的意见和看法。方法:采用定性方法,邀请在沙特阿拉伯西部地区放射科工作的放射科医生参与这项基于访谈的研究。对放射科顾问医师和受训人员进行半结构化访谈(n = 30)。在Miles和Huberman的哲学基础上使用了定性数据分析框架。结果:缺乏培训和支持等几个因素可归因于临床实践中未使用基于人工智能的应用程序以及放射科医生缺乏参与人工智能开发。尽管人工智能对放射学有预期的好处和积极影响,但由于缺乏知识、害怕错误以及担心失去工作和/或权力,可能存在不愿使用基于人工智能的应用程序的情况。由于缺乏管理机构和培训方案,医学生的放射学教育和培训似乎受到影响。结论:这项研究的结果支持建立一个管理机构或国家协会,与大学并行工作,监测培训并将人工智能纳入医学教育课程和住院医师方案。知识进步:关于基于人工智能的应用及其潜在影响的广泛争论被注意到,当人工智能完全融入临床实践时,可能会出现相当大的变革性影响例外。因此,未来关于如何在临床实践中使用基于人工智能的应用的教育和培训计划可能会被推荐。
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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A qualitative study to explore opinions of Saudi Arabian radiologists concerning AI-based applications and their impact on the future of the radiology.

Objective: The aim of this study was to explore opinions and views towards radiology AI among Saudi Arabian radiologists including both consultants and trainees.

Methods: A qualitative approach was adopted, with radiologists working in radiology departments in the Western region of Saudi Arabia invited to participate in this interview-based study. Semi-structured interviews (n = 30) were conducted with consultant radiologists and trainees. A qualitative data analysis framework was used based on Miles and Huberman's philosophical underpinnings.

Results: Several factors, such as lack of training and support, were attributed to the non-use of AI-based applications in clinical practice and the absence of radiologists' involvement in AI development. Despite the expected benefits and positive impacts of AI on radiology, a reluctance to use AI-based applications might exist due to a lack of knowledge, fear of error and concerns about losing jobs and/or power. Medical students' radiology education and training appeared to be influenced by the absence of a governing body and training programmes.

Conclusion: The results of this study support the establishment of a governing body or national association to work in parallel with universities in monitoring training and integrating AI into the medical education curriculum and residency programmes.

Advances in knowledge: An extensive debate about AI-based applications and their potential effects was noted, and considerable exceptions of transformative impact may occur when AI is fully integrated into clinical practice. Therefore, future education and training programmes on how to work with AI-based applications in clinical practice may be recommended.

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