Sommeil

• Associations entre les parasomnies et les paramètres de la polysomnographie

• Automatic Detection of Chronic Insomnia from Polysomnographic and Clinical Variables Using Machine Learning

• Algorithmes de scoring de PSG innovants : co-coconstruction entre l’intelligence artificielle et l’expertise des professionnels

• Algorithmes de détection de micro-éveils de haute performance avec un modèle de deep learning

• Performance of USleep Algorithm to a Better Than “Gold-Standard” Polysomnogram Validation Data Set

• Associations between self-reported parasomnias and psychiatric illness in 370,000 patients with sleep disorders

• Algorithme de haute performance de classification des états du sommeil chez l’enfant (6-18 ans)

• The use of the Odds Ratio Product (ORP) and self-reported data to detect comorbid insomnia and sleep apnea

• A Multimodal Foundation Model Developed with 500K Hours of Sleep Recordings for Disease Predictions

• The Clinical Impact of Periodic Limb Movements: Under-Recognition in Sleep Disordered Breathing and Associations with Key Outcomes in 493,085 Patients