In Silico possibilities to understand peri-implant bone healing- state of the Art
In silico platforms provide a non-invasive and fast approach to study the bone healing process. They can be used as an aid to predict peri-implant bone healing in dentistry. The rise of artificial intelligence in this sector opens a new path, where these studies can be performed with high accuracy at an astounding fast pace. These methods can be a boon to clinicians, patients as well as implant developers.
Authors
- Bilal Al‐Nawas (ORCID: https://orcid.org/0000-0002-8665-5803)
- Gargi Shankar Nayak (ORCID: https://orcid.org/0009-0006-4806-1488)
Institutions
- Johannes Gutenberg University Mainz (DE)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
Publication Details
- Journal
- International Journal of Implant Dentistry
- Published
- 2025-11-23
- DOI
- https://doi.org/10.1186/s40729-025-00659-x
- Primary Topic
- Dental Implant Techniques and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00