Can Artificial Intelligence Create an Accurate Colonoscopy Bowel Preparation Prompt?

Marni H. Wilkoff , Nicholas R. Piniella , Rashmi Advani
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Abstract

Background and Aims

Colorectal cancer is the third most common cancer in the United States, with colonoscopy being the preferred screening method. Up to 25% of colonoscopies are associated with poor preparation which leads to prolonged procedure time, repeat colonoscopies, and decreased adenoma detection. Artificial intelligence (AI) is being increasingly used in medicine, assessing medical school exam questions, and writing medical reports. Its use in gastroenterology has been used to educate patients with cirrhosis and hepatocellular carcinoma, answer patient questions about colonoscopy and provide correct colonoscopy screening intervals, having the ability to augment the patient–provider relationship. This study aims at assessing the accuracy of a ChatGPT-generated precolonoscopy bowel preparation prompt.

Methods

A nonrandomized cross-sectional study assessing the perceptions of an AI-generated colonoscopy preparation prompt was conducted in a large multisite quaternary health-care institution in the northeast United States. All practicing gastroenterologists in the health system were surveyed, with 208 having a valid email address and were included in the study. A Research Electronic Data Capture survey was then distributed to all participants and analyzed using descriptive statistics.

Results

Overall, 91% of gastroenterologist physicians determined the prompt easy to understand, 95% thought the prompt was scientifically accurate and 66% were comfortable giving the prompt to their patients. Sixty four percent of reviewers correctly identified the ChatGPT-generated prompt, but only 32% were confident in their answer.

Conclusion

The ability of ChatGPT to create a sufficient bowel preparation prompt highlights how physicians can incorporate AI into clinical practice to improve ease and efficiency of communication with patients when it comes to bowel preparation.

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人工智能能创造准确的结肠镜检查肠准备提示吗?
背景和目的:结直肠癌是美国第三大常见癌症,结肠镜检查是首选的筛查方法。高达25%的结肠镜检查与准备不良相关,导致手术时间延长,重复结肠镜检查和腺瘤检测减少。人工智能(AI)越来越多地应用于医学,评估医学院考试问题,撰写医学报告。它在胃肠病学中的应用已被用于教育肝硬化和肝细胞癌患者,回答患者关于结肠镜检查的问题,并提供正确的结肠镜检查间隔,有能力增强患者-提供者关系。本研究旨在评估chatgpt生成的结肠镜前肠道准备提示的准确性。方法:在美国东北部的一家大型多站点第四卫生保健机构进行了一项非随机横断面研究,评估了对人工智能生成的结肠镜检查准备提示的看法。对卫生系统中所有执业的胃肠病学家进行了调查,其中208人拥有有效的电子邮件地址,并被纳入了研究。然后向所有参与者分发研究电子数据捕获调查,并使用描述性统计进行分析。结果:总体而言,91%的胃肠内科医生认为提示易于理解,95%的人认为提示科学准确,66%的人愿意向患者提供提示。64%的审稿人正确识别了chatgpt生成的提示,但只有32%的人对自己的答案有信心。结论:ChatGPT创建充分的肠准备提示的能力突出了医生如何将人工智能纳入临床实践,以提高与患者在肠准备方面沟通的便利性和效率。
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来源期刊
Gastro hep advances
Gastro hep advances Gastroenterology
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
64 days
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