牙科中的人工智能:瑞士牙科专业人士的见解和期望。

IF 3.8 3区 医学 Q2 MEDICAL INFORMATICS
Jérôme Donati, Michel Beyer, Johannes Brokmeier, Klaus W Neuhaus, Florian M Thieringer, Britt-Isabelle Berg
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引用次数: 0

摘要

背景:本研究的目的是探讨瑞士牙医对人工智能(AI)的看法,并说明其与性别、年龄或专业背景之间可能存在的相关性。方法:设计在线问卷,通过电子邮件向1121名瑞士牙医发送问卷。调查内容包括对人工智能在牙科领域的未来的当前感受、希望和担忧,以及人工智能工具的习惯和专业使用。结果:初步筛选后,114份返回的问卷被纳入最终数据分析。这项研究显示,21.9%的受访者表示每周至少使用一次牙科人工智能。男性和女性参与者对人工智能的安全性和效用的看法没有显著差异(p = 0.823);然而,发现参与者的年龄与他们对人工智能效用的信念之间存在显著的负相关(p = 0.049)。认为人工智能可能在未来取代工作的人,对人工智能效用的认知较低。结论:研究结果提供了人工智能在瑞士牙科中的作用,突出了未来研究的领域。鼓励在牙科教育中更加重视数字医学和人工智能,以推动该领域的发展,提高与口腔健康相关的生活质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence in dentistry: insights and expectations from Swiss dental professionals.

Background: The goal of this study was to explore Swiss dentists' opinions on artificial intelligence (AI) and illustrate possible correlations to sex, age or professional background.

Methods: An online questionnaire was designed and sent to 1121 Swiss dentists by e-mail. It included questions about current feelings, hopes and worries regarding the future of AI in dentistry and enquired habitual and professional use of AI tools.

Results: After initial screening, 114 returned questionnaires were included in the final analysis of gathered data. This study revealed that 21.9% of respondents reported using AI in dentistry at least once a week. No significant differences were found between male and female participants regarding their perceptions of AI safety and utility (p = 0.823); however, a significant negative correlation was found between participants' age and their belief in AI's utility (p = 0.049). The belief that AI might replace jobs in the future correlated with lower perceived AI utility.

Conclusions: The findings provide insight into AI's role in Swiss dentistry, highlighting areas for future research. Greater emphasis on digital medicine and AI in dental education is encouraged to advance the field and enhance oral health-related quality of life.

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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
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