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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Stratos Vassis, Lena Todnem, Dikte Straadt, Christian Fischer Pedersen, Beatrice Noeldeke, Cory M. Resnick, Mia Glerup, Thomas Klit Pedersen, Ruben Pauwels, Peter Stoustrup
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-11-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Juvenile idiopathic arthritis Machine learning Temporomandibular joint Rheumatic disease
Online-Zugang:	https://doi.org/10.1038/s41598-025-25988-0
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!