Performance of artificial intelligence-based diagnosis and classification of peri-implantitis compared with periodontal surgeon assessment: a pilot study of panoramic radiograph analysis
DL enables reliable and accurate detection of peri-implantitis bone defects. It outperformed periodontal surgeons in overall accuracy, demonstrating its potential as a valuable second-opinion tool to support clinical decision-making. Future research should focus on expanding datasets and incorporating multimodal imaging.
Authors
- Yeon‐Tae Kim (ORCID: https://orcid.org/0000-0001-7209-3208)
- Jae‐Hong Lee (ORCID: https://orcid.org/0000-0002-2375-0141)
- Falk Schwendicke (ORCID: https://orcid.org/0000-0003-1223-1669)
Institutions
- Jeonbuk National University Hospital (KR)
- Wonkwang University (KR)
- Jeonbuk National University (KR)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Journal of Periodontal & Implant Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.5051/jpis.2500280014
- Citations
- 5
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 8.95
Funders
- Jeonbuk National University