DOI: 10.38079/igusabder.1893361 ISSN: 2536-4499

The Impact of AI-Assisted Adaptive Training Approach on Radiation Safety Competence in Healthcare Workers

Halil Soyal, Taner Karasoy
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Aim: The aim of this study is to evaluate the effect of an artificial intelligence (AI)- based adaptive training model on the radiation safety competence (knowledge, attitude, and protective behavior) of healthcare professionals.Method: The research was conducted in a quasi-experimental design with a pre-test–post-test control group. A total of 120 healthcare professionals working with radiation in a university hospital participated in the study. Participants were assigned to experimental (n=60) and control (n=60) groups using computer-assisted random number generation. The experimental group received an AI-assisted adaptive training program for four weeks. The system operated with a rule-based algorithm that dynamically adapted the difficulty level of the content according to predefined success thresholds based on participant performance. The same content was presented to the control group using a traditional classroom-based method. The Radiation Safety Knowledge Test, Attitude Scale, and Protective Behavior Assessment Form were used as data collection tools. Data were evaluated using dependent and independent samples t-test, ANCOVA, and multiple linear regression analyses. The adaptive system operated according to predefined rule-based performance thresholds. The system operated with rule-based adaptive decision logic based on predefined performance thresholds, instead of machine learning-based autonomous model training.Results: After the intervention, a statistically significant increase was found in the knowledge, attitude, and protective behavior scores of the experimental group compared to the control group (p<0.001). ANCOVA results showed that the type of training had a significant and large effect size on the final test competency scores. A significant improvement was observed, especially in the protective behavior dimension.Conclusion: The AI-assisted adaptive training model offers a promising approach to increasing the radiation safety competency of healthcare professionals. The findings suggest that performance-based adaptive content and individualized feedback can support sustainable behavioral change in radiation safety training. It is recommended that the generalizability of the model be evaluated with larger sample sizes and long-term studies.

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