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A Model Predicting Artificial Intelligence Use by Gastroenterology Nurses in Clinical Practice: A Cross-Sectional Multicenter Survey

delete2025-07-03
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OA
AI
T
Thomas Y. Lam
Y
Yue Hu
Y
Yong Yi
P
Peter J. Schulz
M
May O. Lwin
K
Kalya M. Kee
W
Wilson Wen Bin Goh
M
Max F. K. Cheung
H
Hyun Seok Lee
A
Alice S. H. Fan
P
Phyllis P. Lam
S
Shui‐fong Lam
L
Li Zhou
Y
Ye Chen
F
Fudong Li
Y
Ying Lau
J
Jer‐Wei Wu
H
Han‐Mo Chiu
H
Hong Xu
J
Joseph J.�Y. Sung *
DOI:10.1111/jgh.17042delete
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Abstract

Abstract

En 中文
Nurses' participation during colonoscopy has been demonstrated to significantly improve the detection rate of polyps and adenomas. Nonetheless, the adoption of AI in clinical practice still poses challenges. There is limited understanding of the factors influencing gastroenterology nurses' intentions to use AI in clinical practice. We aimed to examine how gastroenterology nurses' intentions to use AI are affected by perceived usefulness, acceptance of this technology, and perceived risk via a moderated mediation model controlling for nurses' characteristics.
Keywords:
artificial intelligence
gastroenterology
nurses
risk
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Journal

Journal of Gastroenterology and Hepatology cover
Journal of Gastroenterology and Hepatology
IF:
3.4
Papers:
1.0W
Citations:
1.5W

Organization

T
The Chinese University of Hong Kong
Scholars:
3.8K
Papers: 1.9K
Citations: 3
N
national taiwan university hospital
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Papers: 8.2K
Citations: 6
Alice Ho Miu Ling Nethersole Hospital cover
Alice Ho Miu Ling Nethersole Hospital
Scholars:
272
Papers: 202
Citations: 159
N
Nanyang Technological University
Scholars:
4.9W
Papers: 4.7W
Citations: 8.1W
P
Prince of Wales Hospital
Scholars:
3.9K
Papers: 3.0K
Citations: 2.4K
S
southern medical university
Scholars:
1.2W
Papers: 3.0K
Citations: 5
F
First Hospital of Jilin University
Scholars:
228
Papers: 76
Citations: 0
X
xiamen university
Scholars:
5.7W
Papers: 3.7W
Citations: 67
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