Kathryn A. Schmidt , Shubham Sood , Saam Dilmaghani , Cadman Leggett , Ross Dierkhising , Mayank Goyal , Barbara A. Barry , Xuan Zhu , Nayantara Coelho-Prabhu
{"title":"Understanding Patients’ Current Acceptability of Artificial Intelligence During Colonoscopy for Polyp Detection: A Single-Center Study","authors":"Kathryn A. Schmidt , Shubham Sood , Saam Dilmaghani , Cadman Leggett , Ross Dierkhising , Mayank Goyal , Barbara A. Barry , Xuan Zhu , Nayantara Coelho-Prabhu","doi":"10.1016/j.tige.2024.250905","DOIUrl":null,"url":null,"abstract":"<div><h3>BACKGROUND AND AIMS</h3><div>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.</div></div><div><h3>METHODS</h3><div>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.</div></div><div><h3>RESULTS</h3><div>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.</div></div><div><h3>CONCLUSION</h3><div>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.</div></div>","PeriodicalId":36169,"journal":{"name":"Techniques and Innovations in Gastrointestinal Endoscopy","volume":"27 2","pages":"Article 250905"},"PeriodicalIF":1.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Techniques and Innovations in Gastrointestinal Endoscopy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S259003072400076X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.