了解患者目前在结肠镜检查息肉时对人工智能的接受程度:一项单中心研究

IF 1.2 Q4 GASTROENTEROLOGY & HEPATOLOGY
Kathryn A. Schmidt , Shubham Sood , Saam Dilmaghani , Cadman Leggett , Ross Dierkhising , Mayank Goyal , Barbara A. Barry , Xuan Zhu , Nayantara Coelho-Prabhu
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引用次数: 0

摘要

背景和目的人工智能(AI)在医疗保健领域的潜在应用研究正在迅速兴起。结肠镜检查是胃肠病学护理的主要应用。在人工智能工具在医疗保健领域普及之前,了解潜在受益者(尤其是患者)的观点至关重要。本研究评估了患者对人工智能在结肠镜检查中的可接受性,特别是对息肉的检测和诊断。方法在这项横断面调查研究中,2023年9月至2024年2月在罗切斯特梅奥诊所接受门诊结肠癌筛查或监测结肠镜检查的患者通过平板电脑完成了一项电子自我调查,包括结肠镜检查中人工智能的问题。主要结局是患者对人工智能的看法,次要结局包括影响其看法的患者因素。统计学分析采用皮尔逊卡方检验和有序逻辑回归。结果共有580名参与者完成了调查。年龄较小、男性性别和高等教育程度与人工智能的熟悉程度和感知重要性相关,而男性和那些相信人工智能积极结果的人对人工智能辅助息肉检测更满意。结论:本研究首次评估患者对结肠镜检查中人工智能的认知。虽然患者普遍认为人工智能可以改善健康状况,但其目前的用途存在不确定性,这表明在知识和意识方面存在差距。主要研究结果强调,对人工智能功效的信念与人工智能辅助手术的舒适度增加有关,在观念上存在显著的人口差异,特别是在性别、年龄和教育方面。通过有针对性的教育和透明的沟通来解决差异,对于促进患者对人工智能辅助结肠镜检查的接受和信任至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Patients’ Current Acceptability of Artificial Intelligence During Colonoscopy for Polyp Detection: A Single-Center Study

BACKGROUND AND AIMS

Research into potential applications of artificial intelligence (AI) in healthcare have witnessed a meteoric rise. A primary application in gastroenterological care is colonoscopy. Before AI tools become ubiquitous in healthcare, it is critical to appreciate the perspective of the potential beneficiaries, particularly patients. This study evaluated patient acceptability of AI in colonoscopy, particularly for polyp detection and diagnosis.

METHODS

In this cross-sectional survey study, patients undergoing outpatient colon cancer screening or surveillance colonoscopies at Mayo Clinic, Rochester, from September 2023 to February 2024 completed an electronic self-administered survey via tablet computer including questions regarding AI in colonoscopy. The primary outcome was patient perspectives on AI, and secondary outcomes included patient factors influencing their perspective. Statistical analyses were performed using Pearson's chi-square test and ordinal logistic regression.

RESULTS

Five hundred eight participants completed the survey. Younger age, male gender, and higher education were associated with higher AI familiarity and perceived importance, while males and those who believed in AI's positive outcomes were more comfortable with AI-assisted polyp detection.

CONCLUSION

This study is the first to assess patient perceptions of AI in colonoscopy. While patients generally believe AI can improve health outcomes, there is uncertainty about its current use, indicating a gap in knowledge and awareness. Key findings highlight that beliefs in AI's efficacy are linked to increased comfort with AI-assisted procedures, with significant demographic variations in perceptions, particularly across gender, age, and education. Addressing disparities through targeted education and transparent communication is crucial for fostering patient acceptance and trust in AI-assisted colonoscopy.
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CiteScore
2.10
自引率
50.00%
发文量
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