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Applications of AI (229)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50525, first published .
Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study

Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study

Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study

Authors of this article:

Wilson WB Goh1, 2, 3 Author Orcid Image ;   Kendrick YA Chia1, 2, 3 Author Orcid Image ;   Max FK Cheung1 Author Orcid Image ;   Kalya M Kee1, 4 Author Orcid Image ;   May O Lwin4 Author Orcid Image ;   Peter J Schulz1, 4 Author Orcid Image ;   Minhu Chen5 Author Orcid Image ;   Kaichun Wu6 Author Orcid Image ;   Simon SM Ng7 Author Orcid Image ;   Rashid Lui8 Author Orcid Image ;   Tiing Leong Ang9 Author Orcid Image ;   Khay Guan Yeoh10, 11 Author Orcid Image ;   Han-mo Chiu12, 13 Author Orcid Image ;   Deng-chyang Wu14 Author Orcid Image ;   Joseph JY Sung1 Author Orcid Image
Article Authors Cited by (10) Tweetations (9) Metrics

Journals

  1. Maida M, Sferrazza S, Calabrese G, Marasco G, Vitello A, Furnari M, Boskoski I, Sinagra E, Facciorusso A. Perceptions of Artificial Intelligence Among Gastroenterologists in Italy: A National Survey. Cancers 2025;17(8):1353 View
  2. Moon W, Wei X, Overton H, Kim J. Between Innovation and Caution: How Consumers’ Risk Perception Shapes AI Product Decisions. Journal of Current Issues & Research in Advertising 2025:1 View
  3. Tariq R, Dilmaghani S, Advani R, Soroush A, Berzin T, Khanna S. Perception and Understanding of Artificial Intelligence Among Gastroenterology Fellows and Early Career Gastroenterologists: A Nationwide Cross-Sectional Survey Study. Digestive Diseases and Sciences 2025;70(8):2655 View
  4. Wan N, Chan C, Tan J, Chinnaratha M, Singh R. Endoscopists’ knowledge, perceptions, and attitudes toward the use of artificial intelligence in endoscopy: a systematic review. Gastrointestinal Endoscopy 2025;102(2):160 View
  5. Wibowo M, Pyle A, Lim E, Ohde J, Liu N, Karlström J. Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study. Journal of Medical Internet Research 2025;27:e71591 View
  6. Lam T, Hu Y, Yi Y, Schulz P, Lwin M, Kee K, Goh W, Cheung M, Lee H, Fan A, Lam P, Lam S, Zhou L, Chen Y, Li F, Lau Y, Wu J, Chiu H, Xu H, Sung J. A Model Predicting Artificial Intelligence Use by Gastroenterology Nurses in Clinical Practice: A Cross‐Sectional Multicenter Survey. Journal of Gastroenterology and Hepatology 2025 View
  7. Shamszare H, Chaudhry Z, Berenji M, Choudhury A. Conceptualizing Clinicians’ Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Thinking Approach. IEEE Access 2025;13:119601 View
  8. Masayoshi K, Hashimoto M, Toda N, Mori H, Kobayashi G, Haque H, So M, Jinzaki M. Training Language Models for Estimating Priority Levels in Ultrasound Examination Waitlists: Algorithm Development and Validation. JMIR AI 2025;4:e68020 View
  9. Dai Q, Li M, Yang M, Shi S, Wang Z, Liao J, Li Z, E W, Tao L, Tang Y. Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study. Journal of Medical Internet Research 2025;27:e75343 View
  10. Soleymanjahi S, Rajashekar N, Chung S, Grimshaw A, Tvedt M, Foroutan F, Sultan S, Shung D, Kolb J. Provider Attitudes and Perceptions on Using Artificial Intelligence in Colonoscopy: A Systematic Review and Meta-Analysis. Gastro Hep Advances 2025;4(10):100746 View