Reliability and accuracy of Artificial intelligence-based software for cephalometric diagnosis. A diagnostic study
The study showed a statistical difference in accuracy between the conventional digital technique and two AI-based software alternatives, but these differences were not clinically significant except for specific measurements. The semi-automatic option was more accurate than the automatic one and faster than conventional tracing. Further research is needed to confirm AI's accuracy in cephalometric tracing.
Authors
- Patricia Martín-Palomino Sahagún (ORCID: https://orcid.org/0000-0001-8096-7198)
- Inés Díaz Renovales (ORCID: https://orcid.org/0000-0001-7545-4355)
- Iván Nieto Sanchez (ORCID: https://orcid.org/0000-0003-0747-2521)
- Cecilia Rossi (ORCID: https://orcid.org/0000-0001-5514-9628)
- Jean-Philippe Mercier (ORCID: https://orcid.org/0009-0007-4595-4114)
- Laura Templier (ORCID: https://orcid.org/0000-0002-3693-0117)
Institutions
- Médecins Sans Frontières (UG)
- Istituto Nazionale di Statistica (IT)
- Universidad Alfonso X el Sabio (ES)
- Hospital Universitario San Rafael (ES)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1186/s12903-024-05097-6
- Citations
- 17
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 8.39