Generative artificial intelligence: synthetic datasets in dentistry

• Published in: BDJ open Vol. 10; no. 1; pp. 13 - 5
• Main Authors: Umer, Fahad, Adnan, Niha
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.03.2024; Springer Nature B.V; Nature Publishing Group
• Subjects: 692/700; 692/700/3032/3093/3095; Artificial intelligence; Datasets; Deep learning; Dentistry; Diffusion models; Generative artificial intelligence; Health care; Medicine; Review Article

Introduction Artificial Intelligence (AI) algorithms, particularly Deep Learning (DL) models are known to be data intensive. This has increased the demand for digital data in all domains of healthcare, including dentistry. The main hindrance in the progress of AI is access to diverse datasets which...