Ontology highlight
ABSTRACT: Background
Artificial intelligence (AI) and various subunits of AI such as artificial neural networks (ANN), Convolutional neural networks (CNNs), machine learning (ML), deep learning (DL) and deep neural networks (DNN) are being tried to diagnose and plan treatment for periodontal diseases.Aim
This narrative review aims to discuss the current evidence on the applications of AI for the diagnosis and risk prediction of periodontal/peri-implant diseases.Method
A search strategy with the following keywords: (Artificial intelligence [MeSH Terms]) AND (Periodontal disease [MeSH Terms]) was used to search for articles from 2000 to 2024.Results
AI models using patient-related data, signs and symptoms of the disease, immunological biomarkers and microbial profiles a
SUBMITTER: Roy R
PROVIDER: S-EPMC12392392 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature