人工智能的认知:放射科核磁共振成像技术人员的见解

IF 1.7 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Journal of Radiation Research and Applied Sciences Pub Date : 2024-07-07 DOI:10.1016/j.jrras.2024.101020
Sami A. Alghamdi
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引用次数: 0

摘要

目的 随着人工智能(AI)越来越多地融入全球医疗保健领域,研究其在特定环境下的影响变得至关重要。本研究旨在探讨沙特阿拉伯核磁共振成像技术人员对放射学中人工智能的看法,并确定影响这些看法的人口因素。方法 对沙特阿拉伯医疗机构的 128 名核磁共振成像技术人员进行了横向调查。调查包含 10 个问题,涵盖了他们对人工智能整合的看法的主要方面。使用 R 软件进行的统计分析包括逻辑回归,以确定人口统计因素与人工智能认知之间的重要关联。调查结果表明,绝大多数技术人员(84.4%)都认为人工智能将在放射学的未来发展中扮演重要角色。教育水平越高,对人工智能的看法越积极(OR 1.75,p = 0.028)。男性技术人员和 40-49 岁的技术人员对人工智能的干扰表现出更明显的担忧。具体来说,男性技术人员认为人工智能会扰乱核磁共振成像实践的几率比为 2.05(p = 0.009),而 40-49 岁的男性技术人员的几率比为 1.60(p = 0.013)。认为人工智能将扰乱职业生涯的男性技术人员的几率比为 1.85 (p = 0.012),40-49 岁的男性技术人员的几率比为 1.50 (p = 0.030)。此外,认为人工智能整合不会改变其工作的几率在男性中明显更高(OR 2.25,p = 0.002)。通过持续的教育和切合实际的信息交流会来解决担忧群体(尤其是老年和男性技术人员)的顾虑,可以促进人工智能的顺利融入。这些举措对于将人工智能的进步与沙特阿拉伯的文化和专业标准相结合,确保培养一支有准备、有支持的人才队伍至关重要。
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The perception of artificial intelligence: Insights from MRI technologists in radiology practices

Objective

As artificial intelligence (AI) increasingly integrates into healthcare sectors globally, it becomes crucial to examine its impact within specific contexts. This study aims to explore MRI technologists' perceptions towards AI in radiology in Saudi Arabia and to identify the demographic factors influencing these perceptions.

Methodology

A cross-sectional survey was conducted among 128 MRI technologists in Saudi Arabian healthcare facilities. The 10-question survey captured key aspects of their perceptions towards AI integration. Statistical analyses using R software included logistic regression to identify significant associations between demographic factors and AI perceptions. Odds ratios (ORs), 95% confidence intervals (CIs), and p-values were computed, with statistical significance set at an alpha level of 0.05.

Results

The survey results indicated that a significant majority (84.4%) of technologists agree that AI will play a crucial role in the future of radiology. Higher education levels were significantly associated with positive perceptions of AI (OR 1.75, p = 0.028). Male technologists and those aged 40–49 showed more pronounced apprehensions about AI's disruptions. Specifically, the odds ratio for male technologists perceiving AI will disrupt MRI practice was 2.05 (p = 0.009), and for those aged 40–49, the odds ratio was 1.60 (p = 0.013). The odds ratio for male technologists believing AI will disrupt careers was 1.85 (p = 0.012), and for those aged 40–49, it was 1.50 (p = 0.030). Additionally, the odds of believing AI integration will not change their work were significantly higher among males (OR 2.25, p = 0.002).

Conclusion

These findings highlight the need for targeted educational programs and support initiatives for MRI technologists in Saudi Arabia. Addressing the concerns of apprehensive groups, particularly older and male technologists, through continuous education and realistic information sessions can facilitate smoother AI integration. These initiatives are essential for aligning AI advancements with Saudi Arabian cultural and professional standards, ensuring a prepared and supportive workforce.

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来源期刊
自引率
5.90%
发文量
130
审稿时长
16 weeks
期刊介绍: Journal of Radiation Research and Applied Sciences provides a high quality medium for the publication of substantial, original and scientific and technological papers on the development and applications of nuclear, radiation and isotopes in biology, medicine, drugs, biochemistry, microbiology, agriculture, entomology, food technology, chemistry, physics, solid states, engineering, environmental and applied sciences.
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