Psychiatric disorders are now responsible for the largest proportion of the global burden of
disease, and even more challenges have been seen during the COVID-19 pandemic …

Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …

Artificial intelligence (AI) allows analysis of “big data” combining clinical, environmental and
laboratory based objective measures to allow a deeper understanding of sleep and sleep …

Background Early identification of poor adherence to CPAP treatment is of major clinical
importance to optimize treatment outcomes in patients with OSA. Research Question How …

Obstructive sleep apnoea (OSA) is a growing and serious worldwide health problem with
significant health and socioeconomic consequences. Current diagnostic testing strategies …

Obstructive sleep apnea (OSA) is a prevalent sleep disorder that affects approximately 3–
7% of males and 2–5% of females. In the United States alone, 50–70 million adults suffer …

Background and Aim: Aberrant sleep parameters are associated with the risk of
nonalcoholic fatty liver disease (NAFLD). However, existing information is inconsistent …

This article presents an overview of the advancements that have been made in the use of
photoplethysmography (PPG) for unobtrusive sleep studies. PPG is included in the quickly …

An increasing number of patients and a lack of awareness about obstructive sleep apnea is
a point of concern for the healthcare industry. Polysomnography is recommended by health …

Objectives The purpose of this study is to summarize the evidence for the association
between snoring and hypertension and the effect of snoring on hypertension in men and/or …