Abstract:Objective：This study aims to explore the impact of integrating AI（Artificial Intelligence）with the PBL（Problem-Based Learning）and CBL（Case-Based Learning）combined teaching model on the development of students’ comprehensive abilities in pediatric clinical education. Methods：A total of 68 undergraduate students from two classes who interned at a certain grade A tertiary hospital in Nanjing from September 2023 to July 2024 were randomly divided into an experimental group（33 students）and a control group（35 students）. The experimental group adopted an AI-assisted PBL and CBL combined teaching model，while the control group used the traditional PBL and CBL teaching model. At the end of the internship，theoretical scores and clinical skills of both groups were assessed to evaluate teaching effectiveness. Results：The theoretical examination scores of the experimental group were 86.91±6.59 points，significantly higher than the control group’s 80.23±6.82 points（P < 0.001）. Similarly，in the clinical skills assessment，the experimental group scored 88.36±3.98 points，which was significantly higher than the control group’s 82.71±4.29 points（P < 0.001）. Conclusion：The integration of AI with the PBL and CBL combined teaching model significantly improved students’ theoretical knowledge，clinical skills，and self-learning abilities，demonstrating high applicability in pediatric clinical education. This teaching approach provides new insights for modern medical education and shows promising prospects for broader implementation.