Artificial Intelligence in Spanish Gastroenterology: high expectations, limited integration. A national survey
Javier Crespo, Ana En\'eriz, Paula Iruzubieta, Fernando Carballo, Conrado Fern\'andez Rodr\'iguez, Mar\'ia Dolores Mart\'in-Arranz, Federico Arg\"uelles-Arias, Juan Turnes

TL;DR
Despite high expectations and positive perceptions of AI among Spanish gastroenterologists, actual integration into practice is limited due to training gaps and institutional barriers, highlighting the need for structured education and governance.
Contribution
This study provides the first comprehensive national survey of AI knowledge, use, barriers, and expectations among Spanish gastroenterology specialists.
Findings
87.5% see AI as transformative in medicine.
Only 60.2% use AI, mostly outside institutions.
Main barriers include lack of training and institutional strategies.
Abstract
Background: Artificial intelligence (AI) has emerged as a disruptive innovation in medicine, yet its adoption within gastroenterology remains limited and poorly characterized. We aimed to examine knowledge, practical applications, perceived barriers, and expectations regarding AI among gastroenterology specialists in Spain. Methods: We conducted a cross-sectional observational study using a structured online survey distributed by the Spanish Society of Digestive Pathology (SEPD) in 2025. The questionnaire collected sociodemographic data, patterns of AI use, perceptions, and educational needs. Descriptive statistics and multivariable models were applied. Results: Among 283 respondents (mean age 44.6 +/- 9.7 years), 87.5% acknowledged AI as a transformative tool, but only 60.2% (95% CI: 54.3-66.1%) reported using it, mostly outside institutional frameworks. Notably, 80.2% of users…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · AI in cancer detection · Surgical Simulation and Training
