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In Silico possibilities to understand peri-implant bone healing- state of the Art
Gargi Shankar Nayak1, Bilal Al-Nawas2
1Department of Otorhinolaryngology Head and Neck Surgery, Bio-Mechanics & Materials group, University Medical Center, Johannes Gutenberg-University Mainz, 55131, Mainz, Germany. gargi.nayak@uni-mainz.de.
Purpose:
This scoping review was carried out to discover and compare all the possibilities the researchers have thought of in the recent past to perform in silico studies on bone healing after implantation of dental implants.
Methods:
An electronic search was conducted in Pubmed, Web of Science, Science Direct and google scholar database to find out related articles in dental peri-implant healing simulations from the period of 2010 until 2025.
Results:
In total, 40 articles were found relevant for this review. Different theories have been applied in the literature to simulate the mechanobiology of bone healing. Success has been found in predicting bone healing via in silico studies. The finite element was used often for these studies; however, the application of artificial intelligence is increasing with time in this sector.
Conclusions:
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.
