Digital photometric analysis as a non-invasive method to determine gingival phenotype: A comparative study
Densitometric analysis of standardized clinical photographs and intraoral scans of the marginal gingiva offers a promising, non-invasive, less stressful, and virtually non-painful method of periodontal phenotype evaluation with reliable numerical outputs. Furthermore, these data may be used to feed AI systems, where machines can learn to recognize color differences and possibly deduce phenotype assessments.
Authors
- Mohamed Abdelrasoul (ORCID: https://orcid.org/0000-0002-2169-5935)
- Maha Nizar M. Sehli
- Seham Altaweel
- Mirna Khogeer
- Rahmah Ayyash
- Thamer Abdulmohshin Al-Ghalib
- Saleh Al Zahrani
Institutions
- Ibn Sina National College for Medical Studies (SA)
- King Fahad Hospital Jeddah (SA)
- University of Business and Technology (SA)
Publication Details
- Journal
- The Saudi Dental Journal
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1016/j.sdentj.2024.09.005
- Citations
- 3
- Primary Topic
- Periodontal Regeneration and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.61