Editorial & Opinion
Response to comments on AI cephalometric landmarking study.
| Τίτλος: | Response to comments on AI cephalometric landmarking study. |
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| Συγγραφείς: | Ye H; Department of Orthodontics, Stomatological Hospital of Chongqing Medical University, Chongqing, China.; Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing, China.; Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing, China., Gou Y; Department of Orthodontics, Stomatological Hospital of Chongqing Medical University, Chongqing, China. 501294@hospital.cqmu.edu.cn.; Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing, China. 501294@hospital.cqmu.edu.cn.; Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing, China. 501294@hospital.cqmu.edu.cn. |
| Πηγή: | BMC oral health [BMC Oral Health] 2026 Aug 03; Vol. 26 (1). Date of Electronic Publication: 2026 Aug 03. |
| Τύπος έκδοσης: | Letter |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: BioMed Central Country of Publication: England NLM ID: 101088684 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6831 (Electronic) Linking ISSN: 14726831 NLM ISO Abbreviation: BMC Oral Health Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : BioMed Central, [2001- |
| Ιατρικοί όροι (MeSH): | Cephalometry*/methods , Artificial Intelligence* , Anatomic Landmarks*, Humans ; Software ; Reproducibility of Results |
| Περίληψη: | 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. (© 2026. The Author(s).) |
| Competing Interests: | Declarations. Ethics approval and consent to participate: This retrospective study was approved by the Clinical Research Ethics Committee of Chongqing Medical University (Approval No.2022-077). The methods were carried out in accordance with the relevant guidelines and regulations. Informed consent has been obtained from all participants for the use of their radiographs for research purposes. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests. |
| Grant Information: | 81900964 National Natural Science Foundation of China |
| Entry Date(s): | Date Created: 20260804 Date Completed: 20260804 Latest Revision: 20260812 |
| Update Code: | 20260812 |
| PubMed Central ID: | PMC13435651 |
| DOI: | 10.1186/s12903-026-08729-1 |
| PMID: | 42547864 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1472-6831 |
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| DOI: | 10.1186/s12903-026-08729-1 |