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Assessing pediatricians' readiness for artificial intelligence: a cross-sectional study in Istanbul, Türki̇ye
Eren Güzeloğlu1, Belen Ateş2, Feyza Aydin Özgür2
1Department of Pediatrics, University of Health Sciences, Prof. Dr. Cemil Taşcıoğlu City Hospital, Istanbul, Türkiye. dr.erenguzeloglu@gmail.com.
BMC Pediatrics
|June 4, 2026
Summary
Pediatricians in Istanbul show positive attitudes and moderate-to-high readiness for artificial intelligence (AI). However, older physicians with more experience exhibit lower AI readiness, necessitating targeted training programs for effective AI integration in pediatrics.
Area of Science:
- Healthcare technology
- Medical artificial intelligence
- Pediatric clinical practice
Background:
- Artificial intelligence (AI) integration in healthcare, particularly pediatrics, offers diagnostic and decision-support advancements.
- Effective AI implementation hinges on healthcare professionals' understanding, attitudes, and adoption readiness.
- This study assesses AI attitudes and readiness among practicing pediatricians in Istanbul, Türkiye, addressing a gap in clinical workforce evaluation.
Purpose of the Study:
- To evaluate general attitudes toward artificial intelligence (AI) among pediatricians.
- To assess the level of readiness for medical AI adoption in pediatric practice.
- To identify factors influencing AI attitudes and readiness in pediatricians.
Main Methods:
- A descriptive cross-sectional study involving 130 pediatricians at Prof. Dr. Cemil Taşcıoğlu City Hospital.
- Data collected via sociodemographic questionnaire, General Attitudes toward Artificial Intelligence Scale (GAAIS), and Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS).
- Statistical analyses included correlation, t-tests, ANOVA, and regression to examine relationships between variables.
Main Results:
- Pediatricians reported a mean positive AI attitude score of 3.81 (±0.74) and moderate-to-high AI readiness (MAIRS-MS score 74.97 ±13.01).
- Older age and longer professional experience (≥21 years) correlated negatively with AI positive attitude and readiness.
- AI 'Ability' and 'Cognition' were significant predictors of positive AI attitudes (R²=0.658).
Conclusions:
- Pediatricians exhibit generally positive attitudes and readiness for AI in clinical practice.
- Advanced age and extensive professional experience are linked to decreased AI readiness.
- Tailored AI education and training programs are crucial, especially for senior physicians, to facilitate ethical AI integration in pediatrics.
