Letter addresses critiques on AI performance in identifying cephalometric landmarks, suggesting improvements in methodology and transparency.
This letter responds to the insightful concerns raised regarding our study on AI versus expert identification of cephalometric landmarks (Is automatic cephalometric software using artificial intelligence better than orthodontist experts in landmark identification? BMC Oral Health. 2023 Jul 8;23(1):467. doi: https://doi.org/10.1186/s12903-023-03188-4 ). We appreciate their constructive feedback and address the central criticisms below, specifically regarding image resolution, reproducibility, the manual-AI comparison, and data transparency.
No takes yet. Share an insight, caveat, or question.
Ye et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: