Evolving trends in novel sleep tracking and sleep testing technology publications between 2020-2022.

Study Objectives: To update sleep medicine providers regarding (1) published research on the uses and performance of novel sleep tracking and testing technologies (2) the use of artificial intelligence to acquire and process sleep data and (3) research trends and gaps regarding the development and/or evaluation of these technologies.

Methods: Medline and Embase electronic databases were searched for studies utilizing screening and diagnostic sleep technologies, published between 2020 and 2022 in journals focusing on human sleep. Studies' quality was determined based on the Study Design criteria of The Oxford Centre for Evidence-Based Medicine Levels of Evidence.

Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary.

Unlabelled: Over the past few years, artificial intelligence (AI) has emerged as a powerful tool used to efficiently automate several tasks across multiple domains. Sleep medicine is perfectly positioned to leverage this tool due to the wealth of physiological signals obtained through sleep studies or sleep tracking devices and abundance of accessible clinical data through electronic medical records. However, caution must be applied when utilizing AI, due to intrinsic challenges associated with novel technology.

Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine.

Unlabelled: Since the publication of its 2020 position statement on artificial intelligence (AI) in sleep medicine by the American Academy of Sleep Medicine, there has been a tremendous expansion of AI-related software and hardware options for sleep clinicians. To help clinicians understand the current state of AI and sleep medicine, and to further enable these solutions to be adopted into clinical practice, a discussion panel was conducted on June 7, 2022, at the Associated Professional Sleep Societies Sleep Conference in Charlotte, North Carolina. The article is a summary of key discussion points from this session, including aspects of considerations for the clinician in evaluating AI-enabled solutions including but not limited to what steps might be taken both by the Food and Drug Administration and clinicians to protect patients, logistical issues, technical challenges, billing and compliance considerations, education and training considerations, and other unique challenges specific to AI-enabled solutions.

Photoplethysmography-new applications for an old technology: a sleep technology review.

Unlabelled: Education is integral to the American Academy of Sleep Medicine (AASM) mission. The AASM Emerging Technology Committee identified an important and evolving piece of technology that is present in many of the consumer and clinical technologies that we review on the AASM #SleepTechnology (https://aasm.org/consumer-clinical-sleep-technology/) resource-photoplethysmography.

Consumer Sleep Technology: An American Academy of Sleep Medicine Position Statement.

Consumer sleep technologies (CSTs) are widespread applications and devices that purport to measure and even improve sleep. Sleep clinicians may frequently encounter CST in practice and, despite lack of validation against gold standard polysomnography, familiarity with these devices has become a patient expectation. This American Academy of Sleep Medicine position statement details the disadvantages and potential benefits of CSTs and provides guidance when approaching patient-generated health data from CSTs in a clinical setting.

Sleep-disordered breathing in neurologic conditions.

Sleep-related breathing disorder or sleep-disordered breathing (SDB) encompasses central sleep apnea (CSA), obstructive sleep apnea (OSA), and sleep-related hypoventilation or hypoxemic syndromes. SDB is common in neurologic conditions that affect the central and/or peripheral nervous systems. Patients with neurologic conditions are at risk for SDB due to a combination of factors such as muscular weakness, damage to areas of the brain that control respiration, use of sedating medications, and weight gain from limited physical activity.

Insomnia.

Insomnia is a common disorder, with individual and societal consequences. Advances have been made in the understanding of insomnia and its treatment options. However, cognitive behavioral therapy and Food and Drug Administration-approved pharmacologic therapies have limitations, the former primarily involving access and the latter involving potential side effects.

The role of sleep in forgetting in temporal lobe epilepsy: a pilot study.

The purpose of this study was to examine how sleep impacts memory function in temporal lobe epilepsy (TLE). Patients with TLE (n=7) and control subjects (n=9) underwent training and overnight testing on (1) a motor sequence task known to undergo sleep-dependent enhancement in healthy subjects, and (2) the selective reminding test, a verbal memory task on which patients with TLE have shown impaired performance 24 hours after training. Sleep data were collected by polysomnography.

Sleep and cognition.

Sleep is a complex physiologic state, the importance of which has long been recognized. Lack of sleep is detrimental to humans and animals. Over the past decade, an important link between sleep and cognitive processing has been established.