Screening Prediction Models Using Artificial Intelligence for Moderate-to-Severe Obstructive Sleep Apnea in Patients With Acute Ischemic Stroke

Obstructive sleep apnea (OSA) is common after stroke. Still, routine screening of OSA with polysomnography (PSG) is often unfeasible in clinical practice, primarily because of how limited resources are and the physical condition of patients. In this study, we used several artificial intelligence techniques to predict moderate-to-severe OSA and identify its features in patients with acute ischemic stroke.