Use of artificial intelligence and machine learning for the management of fibromyalgia: a scoping review (pubmed.ncbi.nlm.nih.gov)

• ML models (random forest, neural networks) achieve over 85% accuracy in fibromyalgia classification.
• AI symptom-tracking apps enable real-time personalized treatment adjustments.
• Key limitations: small datasets, lack of external validation, and ethical concerns.

"This scoping review examines the application of artificial intelligence (AI) and machine learning (ML) in diagnosing, treating, and monitoring fibromyalgia. Analysis of 45 studies reveals that ML models show promise in classifying fibromyalgia patients based on pain patterns and biomarkers. AI-powered apps for symptom tracking and personalized treatment recommendations are also described. Findings emphasize the need for larger validated datasets and clinical trials to facilitate integration into routine care. The review highlights ethical concerns and algorithmic biases."