Development and evaluation of acceptance scale for artificial intelligence in digestive endoscopy by subjects.

Journal: Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
PMID: 38448378

Abstract

OBJECTIVES: Digestive endoscopy is an important diagnostic and therapeutic tool for digestive system diseases. The artificial intelligence (AI)-assisted system in endoscopy (hereinafter referred to as AI in digestive endoscopy) has broad application prospects in the field of digestive endoscopy. The trust and acceptance of endoscopic subjects are the cornerstone of the research, application, and promotion of AI in digestive endoscopy. Currently, the tools for measuring the acceptance of AI in digestive endoscopy by subjects are limited at home and abroad. This study aims to develop a scale for measuring the acceptance of AI in digestive endoscopy by subjects, then to evaluate its reliability and validity.

Authors

  • Xiuyan Long
    Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha 410013. 2070521987@qq.com.
  • Haijun Deng
    School of Mathematics & Statistics, Guizhou University of Finance and Economics, Guiyang 550025.
  • Zinan Zhang
    Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050.
  • Tao Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Xiaoyu Yu
    Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
  • Pan Gong
    Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
  • Li Tian
    Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013, China. tianlixy3@csu.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals