Federated Learning in Endodontics: A Framework for Privacy-Preserving Multicentre Artificial Intelligence

Introduction and Aim: High-quality artificial intelligence (AI) models in endodontics require access to diverse, well-annotated datasets. This review introduces federated learning (FL) as a privacy-preserving framework for collaborative AI in endodontics. Methods: In this narrative review, a compreh...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Mohammed Turky, Lakshman Samaranayake, Thanaphum Osathanon, Paul M.H. Dummer
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2026-08-01
Edice:	International Dental Journal
Témata:	Artificial intelligence Data privacy Endodontics Federated learning
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S0020653926002972
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!