Artificial intelligence (AI) is profoundly transforming the paradigms of basic and clinical research in endodontics. In basic research, AI facilitates the in-depth exploration of the structural characteristics, biological mechanisms, and disease pathogenesis of the pulp-dentin complex through high-precision image segmentation, multimodal data integration, and bioinformatics analysis. In clinical research, AI optimizes the entire process of study design, disease diagnosis, and treatment outcome prediction, enhancing the scientific rigor, efficiency, and reproducibility of research. Despite challenges related to data quality, algorithm interpretability, and interdisciplinary integration, AI's potential as a "research collaborator" is increasingly evident, promising to advance endodontics into a new era of more precise, efficient, and innovative research.