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Updated: Sep 17, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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A Model Predicting Artificial Intelligence Use by Gastroenterology Nurses in Clinical Practice: A Cross-Sectional

Thomas Yuen Tung Lam1,2,3, Yue Hu1, Y Yi3

  • 1The Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong SAR, China.

Journal of Gastroenterology and Hepatology
|July 4, 2025
PubMed
Summary

Gastroenterology nurses are more likely to use artificial intelligence (AI) when they find it useful and accept the technology. Perceived usefulness drives AI adoption, particularly when perceived risks are low.

Keywords:
artificial intelligencegastroenterologynursesrisk

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Area of Science:

  • Medical Informatics
  • Gastroenterology Nursing
  • Artificial Intelligence in Healthcare

Background:

  • Nurses enhance polyp and adenoma detection during colonoscopies.
  • Adoption of artificial intelligence (AI) in clinical settings faces challenges.
  • Factors influencing nurses' AI adoption intentions require further investigation.

Purpose of the Study:

  • To examine how perceived usefulness, AI acceptance, and perceived risk influence gastroenterology nurses' intentions to use AI.
  • To investigate these relationships using a moderated mediation model, controlling for nurse characteristics.

Main Methods:

  • A multicenter, cross-sectional survey was conducted.
  • 337 gastroenterology nurses from Taiwan, Hong Kong, and mainland China participated.
  • Data were analyzed using a moderated mediation model.

Main Results:

  • Perceived usefulness directly and significantly influenced nurses' intention to use AI, even after controlling for experience and work role.
  • The indirect effect of perceived usefulness on use intention, mediated by AI technology acceptance, was strongest when perceived risk was minimal.

Conclusions:

  • Perceived usefulness is a key driver for gastroenterology nurses' intentional use of AI.
  • AI acceptance mediates the relationship between perceived usefulness and intention to use AI.
  • Minimizing perceived risk enhances the positive impact of perceived usefulness on AI adoption.