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塑造未来实践:德语国家医学生和牙科学学生对医疗保健中人工智能的看法。

Shaping future practices: German-speaking medical and dental students' perceptions of artificial intelligence in healthcare.

机构信息

Health Services Research, Faculty of Medicine/Dentistry, Danube Private University, Steiner Landstraße 124, Krems‑Stein, 3500, Austria.

Center for Health Services Research, Brandenburg Medical School, Seebad 82/83, 15562 Rüdersdorf b. Berlin, Neuruppin, Germany.

出版信息

BMC Med Educ. 2024 Aug 6;24(1):844. doi: 10.1186/s12909-024-05826-z.

DOI:10.1186/s12909-024-05826-z
PMID:39107732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11304766/
Abstract

BACKGROUND

The growing use of artificial intelligence (AI) in healthcare necessitates understanding the perspectives of future practitioners. This study investigated the perceptions of German-speaking medical and dental students regarding the role of artificial intelligence (AI) in their future practices.

METHODS

A 28-item survey adapted from the AI in Healthcare Education Questionnaire (AIHEQ) and the Medical Student's Attitude Toward AI in Medicine (MSATAIM) scale was administered to students in Austria, Germany, and Switzerland from April to July 2023. Participants were recruited through targeted advertisements on Facebook and Instagram and were required to be proficient in German and enrolled in medical or dental programs. The data analysis included descriptive statistics, correlations, t tests, and thematic analysis of the open-ended responses.

RESULTS

Of the 409 valid responses (mean age = 23.13 years), only 18.2% of the participants reported receiving formal training in AI. Significant positive correlations were found between self-reported tech-savviness and AI familiarity (r = 0.67) and between confidence in finding reliable AI information and positive attitudes toward AI (r = 0.72). While no significant difference in AI familiarity was found between medical and dental students, dental students exhibited slightly more positive attitudes toward the integration of AI into their future practices.

CONCLUSION

This study underscores the need for comprehensive AI education in medical and dental curricula to address knowledge gaps and prepare future healthcare professionals for the ethical and effective integration of AI in practice.

摘要

背景

人工智能(AI)在医疗保健领域的应用日益广泛,因此有必要了解未来从业者的观点。本研究调查了德语区医学和牙科学生对人工智能(AI)在未来实践中作用的看法。

方法

本研究采用改编自医疗保健教育中的人工智能问卷(AIHEQ)和医学生对人工智能医学态度量表(MSATAIM)的 28 项调查,于 2023 年 4 月至 7 月在奥地利、德国和瑞士的学生中进行。参与者通过 Facebook 和 Instagram 上的定向广告招募,需要精通德语并正在医学或牙科课程中学习。数据分析包括描述性统计、相关性分析、t 检验和对开放式回答的主题分析。

结果

在 409 份有效回复(平均年龄 23.13 岁)中,只有 18.2%的参与者报告接受过人工智能的正式培训。自我报告的技术精通程度与对 AI 的熟悉程度(r=0.67)以及对找到可靠 AI 信息的信心与对 AI 的积极态度(r=0.72)之间存在显著正相关。虽然医学和牙科学生之间对 AI 的熟悉程度没有显著差异,但牙科学生对将 AI 融入未来实践的态度略为积极。

结论

本研究强调了在医学和牙科课程中全面开展人工智能教育的必要性,以解决知识差距,并使未来的医疗保健专业人员为在实践中进行人工智能的伦理和有效整合做好准备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8546/11304766/c24206cfb3b2/12909_2024_5826_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8546/11304766/379da8fa985c/12909_2024_5826_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8546/11304766/01c1d075e116/12909_2024_5826_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8546/11304766/c24206cfb3b2/12909_2024_5826_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8546/11304766/379da8fa985c/12909_2024_5826_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8546/11304766/01c1d075e116/12909_2024_5826_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8546/11304766/c24206cfb3b2/12909_2024_5826_Fig3_HTML.jpg

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