ABSTRACT Objectives This study aimed to develop and evaluate an artificial intelligence (AI) model to predict long‐term treatment outcomes in temporomandibular disorder (TMD) patients using clinical data and verify the value of adding haematologic data in enhancing predictive accuracy.
Moon Jong Kim +4 more
wiley +1 more source
Graphical representation of review aims, methods and findings. ABSTRACT Background Temporomandibular disorders (TMDs) are common musculoskeletal jaw conditions that can significantly impact individuals' activity, participation and quality of life (QOL).
Sarah Scrase +5 more
wiley +1 more source
Brief pain reprocessing therapy for fibromyalgia: a feasibility, acceptability, and preliminary efficacy pilot. [PDF]
Sturgeon J +6 more
europepmc +1 more source
Balance Abilities and Kinesiophobia in Women with Fibromyalgia Syndrome: A Cross-Sectional Comparative Study. [PDF]
Yıldır CZ +5 more
europepmc +1 more source
Exploring the essential components in a mobile application for non-pharmacological management of fibromyalgia: a qualitative study from the perspective of patients and professionals. [PDF]
Arboleda-Trujillo MA +5 more
europepmc +1 more source
Disentangling interoception and its links to cognitive functioning in fibromyalgia. [PDF]
Agostinho M +3 more
europepmc +1 more source
Two Neuroanatomical Subtypes in Fibromyalgia Patients: Distinct Morphological Patterns and Treatment Outcomes. [PDF]
Wu S +6 more
europepmc +1 more source
Structured Symptom Assessment to Identify Patients With Small Fiber or Autonomic Neuropathy in Fibromyalgia. [PDF]
Bay-Smidt CN +5 more
europepmc +1 more source
UEG Week 2025 Oral Presentations
United European Gastroenterology Journal, Volume 13, Issue S8, Page S7-S188, October 2025.
wiley +1 more source

