Cross-Sectional Survey Opens: Mapping Clinician and Patient Knowledge, Trust, and Attitudes Toward AI in Gastroenterology — A Critical Step Before Clinical Integration

References

1. 1.Sohag University. (2025). Assessing knowledge, attitudes, trust, perceived usefulness, and barriers to using artificial intelligence (AI) in gastroenterology among clinicians and patients (NCT07669025). ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07669025
2. 2.Repici, A., Badalamenti, M., Maselli, R., Correale, L., Radaelli, F., Rondonotti, E., Ferrara, E., Spadaccini, M., Alkandari, A., Fugazza, A., Anderloni, A., Galtieri, P. A., Pellegatta, G., Carrara, S., Di Leo, M., Craviotto, V., Lamonaca, L., Lorenzetti, R., Ferretti, F., … Hassan, C. (2020). Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial. Gastroenterology, 159(2), 512–520.e7. https://doi.org/10.1053/j.gastro.2020.04.062
3. 3.Goh, J. N., Sze, S., & Ng, C. H. (2024). Trust and acceptance of artificial intelligence in clinical practice: A systematic review. npj Digital Medicine, 7, 112. https://doi.org/10.1038/s41746-024-01097-6
4. 4.Leggett, C. L., Snyder, M. R., & Iyer, P. G. (2024). Artificial intelligence in gastroenterology: Where are we now and where are we going? Gastroenterology Clinics of North America, 53(2), 345–362. https://doi.org/10.1016/j.gtc.2024.01.001
5. 5.Meyer, A. N. D., Giardina, T. D., Spitzmueller, C., Bhise, V., Walsh, K., & Singh, H. (2022). Patient perspectives on the usefulness of an artificial intelligence–assisted symptom checker: Cross-sectional survey study. Journal of Medical Internet Research, 24(1), e31810. https://doi.org/10.2196/31810
6. 6.Nagtegaal, I. D., Odze, R. D., Klimstra, D., Paradis, V., Rugge, M., Schirmacher, P., Washington, K. M., Carneiro, F., & Cree, I. A. (2020). The 2019 WHO classification of tumours of the digestive system. Histopathology, 76(2), 182–188. https://doi.org/10.1111/his.13975