Improving early detection of temporomandibular joint involvement in juvenile idiopathic arthritis with a clinically interpretable machine learning model

Abstract Juvenile idiopathic arthritis (JIA) commonly affects the temporomandibular joint (TMJ), leading to dentofacial deformities and orofacial symptoms. Timely diagnosis and treatment initiation are essential for optimizing patient outcomes. However, clinical examination—the primary screening met...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Stratos Vassis, Lena Todnem, Dikte Straadt, Christian Fischer Pedersen, Beatrice Noeldeke, Cory M. Resnick, Mia Glerup, Thomas Klit Pedersen, Ruben Pauwels, Peter Stoustrup
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-11-01
Serie:	Scientific Reports
Soggetti:	Juvenile idiopathic arthritis Machine learning Temporomandibular joint Rheumatic disease
Accesso online:	https://doi.org/10.1038/s41598-025-25988-0
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!