Knowledge and Awareness of Generative Artificial Intelligence Use in Medicine Among International Stakeholders: A Cross-Sectional Study

IF 3.5 2区医学 Q1 MEDICINE, GENERAL & INTERNAL

Journal of Evidence‐Based Medicine Pub Date : 2025-06-02 DOI:10.1111/jebm.70034

Xufei Luo, Bingyi Wang, Yule Li, Shuang Liu, Haodong Li, Yaxuan Ren, Wah Yang, Kyle Lam, Stephen R Ali, Gemma Sharp, Fabio Ynoe Moraes, Ye Wang, Di Zhu, Zhenhua Yang, Daher Mohammad, Robert Fruscio, Maged N. Kamel Boulos, Zhicheng Lin, Kazuki Ide, Xuping Song, Lu Zhang, Yih Chung Tham, Hui Liu, Long Ge, Yaolong Chen, Zhaoxiang Bian, the GAMER working group and ADVANCED working group

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引用次数: 0

Abstract

Objective

To assess the knowledge, attitudes, and practices (KAP) of medical stakeholders regarding the use of generative artificial intelligence (GAI) tools.

Methods

A cross-sectional survey was conducted among stakeholders in medicine. Participants included researchers, clinicians, and medical journal editors with varying degrees of familiarity with GAI tools. The survey questionnaire comprised 40 questions covering four main dimensions: basic information, knowledge, attitudes, and practices related to GAI tools. Descriptive analysis, Pearson's correlation, and multivariable regression were used to analyze the data.

Results

The overall awareness rate of GAI tools was 93.3%. Participants demonstrated moderate knowledge (mean score 17.71 ± 5.56), positive attitudes (mean score 73.32 ± 15.83), and reasonable practices (mean score 40.70 ± 12.86). Factors influencing knowledge included education level, geographic region, and attitudes (p < 0.05). Attitudes were influenced by work experience and knowledge (p < 0.05), while practices were driven by both knowledge and attitudes (p < 0.001). Participants from outside China scored higher in all dimensions compared to those from China (p < 0.001). Additionally, 74.0% of participants emphasized the importance of reporting GAI usage in research, and 73.9% advocated for naming the specific tool used.

Conclusion

The findings highlight a growing awareness and generally positive attitude toward GAI tools among medical stakeholders, alongside the recognition of their ethical implications and the necessity for standardized reporting practices. Targeted training and the development of clear reporting guidelines are recommended to enhance the effective use of GAI tools in medical research and practice.

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国际利益相关者对生成式人工智能在医学中的应用的知识和意识：一项横断面研究

目的评估医疗利益相关者对使用生成式人工智能（GAI）工具的知识、态度和实践（KAP）。方法采用横断面调查法对医学相关人员进行调查。参与者包括对GAI工具熟悉程度不同的研究人员、临床医生和医学期刊编辑。调查问卷包括40个问题，涵盖四个主要方面：与GAI工具相关的基本信息、知识、态度和实践。采用描述性分析、Pearson相关分析和多变量回归分析。结果GAI工具的总体知晓率为93.3%。参与者知识水平中等（平均得分17.71±5.56），态度积极（平均得分73.32±15.83），行为合理（平均得分40.70±12.86）。影响知识的因素包括教育程度、地理区域和态度(p <；0.05)。工作经验和知识对态度有影响(p <；0.05)，而实践受知识和态度的驱动(p <；0.001)。中国以外的参与者在所有方面的得分都高于中国的参与者(p <；0.001)。此外，74.0%的参与者强调报告GAI在研究中的使用的重要性，73.9%的参与者主张命名所使用的特定工具。研究结果强调了医疗利益相关者对GAI工具的认识和普遍积极的态度，以及对其伦理影响和标准化报告实践的必要性的认识。建议进行有针对性的培训和制定明确的报告准则，以加强在医学研究和实践中有效利用GAI工具。

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

Journal of Evidence‐Based Medicine MEDICINE, GENERAL & INTERNAL-

CiteScore

11.20

自引率

1.40%

发文量

期刊介绍： The Journal of Evidence-Based Medicine (EMB) is an esteemed international healthcare and medical decision-making journal, dedicated to publishing groundbreaking research outcomes in evidence-based decision-making, research, practice, and education. Serving as the official English-language journal of the Cochrane China Centre and West China Hospital of Sichuan University, we eagerly welcome editorials, commentaries, and systematic reviews encompassing various topics such as clinical trials, policy, drug and patient safety, education, and knowledge translation.