Response to Letter to the Editor regarding, “Advancements in artificial intelligence algorithms for dental implant identification”

Abstract

Our conclusions were deliberately cautious and forward-looking, emphasizing the need for larger, more diverse datasets, external validation, and methodological standardization in future AI research on implant identification. We also noted that with continued advancements in technology and research design, AI models have the potential to accurately identify dental implant systems from radiographs and enhance patient care. We fully agree that future studies should include subgroup analyses by imaging modality and implant brand, as well as real-world clinical validation, to further strengthen the evidence base for AI integration in implant dentistry.