Evaluation by dental professionals of an artificial intelligence-based application to measure alveolar bone loss
Overall, the study demonstrates that an AI application for detecting alveolar bone has high acceptability among dental professionals and may provide benefits in time saving and increased clinical accuracy.
Authors
- Sunil Wadhwa (ORCID: https://orcid.org/0000-0001-5743-9231)
- Michael T. Yin (ORCID: https://orcid.org/0000-0002-9346-9056)
- Sang Won Lee (ORCID: https://orcid.org/0000-0003-2948-4099)
- Thomas Bina
- Donald J. McMahon (ORCID: https://orcid.org/0000-0003-1506-4464)
- Satoko Matsumura (ORCID: https://orcid.org/0000-0003-2774-3560)
- Nicholas Zhang (ORCID: https://orcid.org/0000-0001-5078-4403)
- Kateryna Huz
- Yvonne Naa Ardua Anang
- Sanam Sachadava (ORCID: https://orcid.org/0009-0003-9830-022X)
- Helena I. Servin-DeMarrais
- Jackie Li (ORCID: https://orcid.org/0000-0002-1376-6692)
- Helen H. Lu
- Noah Yin
- Kayla Gorelick
Institutions
- Columbia University (US)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1186/s12903-025-05677-0
- Citations
- 5
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 8.95