This article discusses a study that aimed to investigate the relationship between obstructive sleep apnea (OSA) and temporomandibular disorder (TMD) in patients. The study used machine learning algorithms to predict OSA based on clinical data and portable PSG data, and also compared the accuracy of prediction when MRI data was included. The study found that the prediction accuracy increased when MRI data was included, suggesting that MRI data can be useful in predicting OSA in TMD patients.
