Non-alcoholic fatty liver disease and sleep disorders

Studies have shown that non-alcoholic fatty liver disease(NAFLD)may be associated with sleep disorders.In order to explore the explicit relationship between the two,we systematically reviewed the effects of sleep disorders,especially obstructive sleep apnea(OSA),on the incidence of NAFLD,and analyzed the possible mechanisms after adjusting for confounding factors.NAFLD is independently associated with sleep disorders.Different sleep disorders may be the cause of the onset and aggravation of NAFLD.An excessive or insufficient sleep duration,poor sleep quality,insomnia,sleep-wake disorders,and OSA may increase the incidence of NAFLD.Despite that some research suggests a unidirectional causal link between the two,specifically,the onset of NAFLD is identified as a result of changes in sleep characteristics,and the reverse relationship does not hold true.Nevertheless,there is still a lack of specific research elucidating the reasons behind the higher risk of developing sleep disorders in individuals with NAFLD.Further research is needed to establish a clear relationship between NAFLD and sleep disorders.This will lay the groundwork for earlier identification of potential patients,which is crucial for earlier monitoring,diagnosis,effective prevention,and treatment of NAFLD.

Sleep Disorders among Professional Oil Tanker Drivers in Ouagadougou Burkina Faso

Introduction: Sleep disorders among professional drivers are a major road safety problem. They cause fatigue and drowsiness at the wheel, which can lead to road traffic accidents and even accidents at work. The aim of this study was to assess sleep disorders among professional drivers of oil tankers in Ouagadougou, Burkina Faso. Methods: This was a descriptive and analytical cross-sectional study carried out from 11 April 2020 to 11 September 2020 in the national hydrocarbon company’s fuel depot. All the drivers present at the time were included and accomplished a questionnaire incorporating the commonly scales using to assess sleep disorders, sleep quality and sleep apnoea. Data analysis using R 3.6.1 software enabled to perform univariate and multivariate analyses to identify associated factors. Adjusted odd ratios were used to measure the strength of association. The significance level chosen was p ≤ 0.05. Results: All the 339 respondents were male. A proportion of 33.6% suffered from insomnia, including 12.7% with moderate to severe insomnia, and 18.58% were at risk of sleep apnoea. On the Epworth scale, 26.6% of drivers showed sleep debt and 4.1% excessive daytime sleepiness. The risk factors associated with insomnia were the use of psychostimulants. A history of diabetes and insomnia were risk factors associated with sleep apnoea syndrome. Conclusion: The prevalence of sleep disturbance and insomnia among the respondents were 52.2% and 33.6% respectively. Use of psychostimulants was the identified risk factor. The prevalence of SAS was 4.72%, with diabetes and insomnia as associated factors.

Lack of a causal relationship between tea intake and sleep disorders: a two-sample Mendelian randomization study

Background:The relationship between tea intake(TI)and sleep disorders(SDs)has been a topic of interest for some time,but there remains a lack of data showing a causal relationship.We aimed to use a two-sample Mendelian randomization study to determine whether there is a causal link between TI and SDs.Methods:We collected data regarding TI,with a focus on green tea intake(GTI),herbal tea intake(HTI),and rooibos tea intake(RTI);and data regarding SDs and insomnia from genome-wide association studies.We analyzed these data using an inverse variance-weighted two-sample Mendelian randomization study,by means of the TwoSampleMR package in R4.2.3 software.Results:We found no genetic causal relationships of TI,GTI,HTI,or RTI with insomnia.The odds ratios(ORs)for these relationships were as follows:TI:OR=0.61,95%confidence interval(CI):0.29–1.28;GTI:OR=1.04,95%CI:0.95–1.14;HTI:OR=0.98,95%CI:0.82–1.17;and RTI:OR=1.04,95%CI:0.99–1.09.In addition,there were no genetic causal relationships of TI,GTI,HTI,or RTI with SDs.The OR values for these relationships were as follows:TI:OR=0.6,95%CI:0.34–1.06;GTI:OR=1,95%CI:0.93–1.07;HTI:OR=0.89,95%CI:0.66–1.2;and RTI:OR=1.02,95%CI:0.98–1.06.Conclusion:We found no causal relationships of TI with SDs or insomnia,irrespective of the type of tea consumed.However,additional Mendelian randomization studies are required to further explore the relationships of the timing and quantity of tea consumption with SDs and insomnia.

Sleep disorders in Alzheimer’s disease:the predictive roles and potential mechanisms

Sleep disorders are common in patients with Alzheimer’s disease,and can even occur in patients with amnestic mild cognitive impairment,which appears before Alzheimer’s disease.Sleep disorders further impair cognitive function and accelerate the accumulation of amyloid-βand tau in patients with Alzheimer’s disease.At present,sleep disorders are considered as a risk factor for,and may be a predictor of,Alzheimer’s disease development.Given that sleep disorders are encountered in other types of dementia and psychiatric conditions,sleep-related biomarkers to predict Alzheimer’s disease need to have high specificity and sensitivity.Here,we summarize the major Alzheimer’s disease-specific sleep changes,including abnormal non-rapid eye movement sleep,sleep fragmentation,and sleep-disordered breathing,and describe their ability to predict the onset of Alzheimer’s disease at its earliest stages.Understanding the mechanisms underlying these sleep changes is also crucial if we are to clarify the role of sleep in Alzheimer’s disease.This paper therefore explores some potential mechanisms that may contribute to sleep disorders,including dysregulation of the orexinergic,glutamatergic,andγ-aminobutyric acid systems and the circadian rhythm,together with amyloid-βaccumulation.This review could provide a theoretical basis for the development of drugs to treat Alzheimer’s disease based on sleep disorders in future work.

Epidemiology of Sleep Disorders among Chronic Hemodialysis Patients in Senegal: A Multicentric Study

Introduction: Sleep disorders (SD) are common dialysis patients and can impact their quality of life. In previous studies, black ethnicity was associated with higher incidence of SD but a few data are available in African patients. This study aimed to describe prevalence and risk factors of SD among Senegalese dialysis patients. Methods: We performed a cross-sectional study between February 15th and April 30th 2012 including 127 patients (75 males and 52 females) aged 46.8 ± 16.9 (16 - 85 years) and dialysed since >6 months in three dialysis centres. For each patient, we assessed insomnia according to international definition, obstructive sleep apnea syndrome (OSAS) with the Berlin questionnaire, restless leg syndrome (RLS) using abridged version of Cambridge-Hopkins RLS questionnaire, and excessive daytime sleepiness (EDS) with Epworth sleepiness scale. Logistic multivariate regression was used to identify factors associated with different SD. Results: Overall prevalence of SD was 88% comprising: insomnia (64.3%), OSAS (49.1%), RLS (24.1%) and EDS (20.5%). Forty-two patients presented at least two disorders. No difference was noticed in prevalence of SD between genders (p = 0.14). Level of blood pressure were not different across patients with and without SD. Insomnia correlated with anemia, inflammation and EDS. OSAS was associated with age ≥50 years, EDS and neck circumference ≥25 cm. RLS correlated with anemia and EDS. Other parameters such as gender, dialysis vintage, KT/V, obesity, diabetes status and hypoalbuminemia were not associated with the different SD. The majority of patients had not been diagnosed before the survey and none of them was under treatment. Conclusions: Our findings are compatible with high prevalence of sleep disorders reported in other populations. Insomnia and OSAS are the most frequent SD but some patients combined many disorders. Nephrologists should be more aware of these SD in order to detect them early and provide efficient treatment.

Clinical Characteristics of Sleep Disorders in Patients with Parkinson's Disease

In order to investigate the sleep quality and influencing factors in patients with Parkinson＇s disease（PD）, 201 PD patients were enrolled and underwent extensive clinical evaluations. Subjective sleep evaluation was assessed using the Pittsburgh Sleep Quality Index（PSQI）, and the Epworth Sleepiness Scale（ESS）. It was found that poor sleep quality（77.11%） and excessive daytime sleepiness（32.34%） were commonly seen in PD patients and positively correlated with disease severity. Then 70 out of the 201 PD patients and 70 age- and sex-matched controls underwent a polysomnographic recording. The parameters were compared between PD group and control group and the influencing factors of sleep in PD patients were analyzed. The results showed that sleep efficiency（SE） was significantly decreased（P〈0.01）, and sleep latency（SL） and the arousal index（AI） were increased（P〈0.05） in the PD group as compared with those in the control group. SE and total sleep time（TST） were positively correlated with the Hoehn and Yahr（H＆Y） stage. There was significant difference in the extent of hypopnea and hypoxemia between the PD group and the control group（P〈0.05）. Our results indicate that PD patients have an overall poor sleep quality and a high prevalence of sleep disorder, which may be correlated with the disease severity. Respiratory function and oxygen supply are also affected to a certain degree in PD patients.

The Role of EEG in the Diagnosis and Management of Patients with Sleep Disorders

Sleep disorders affect an individual’s ability to sleep well on a regular and natural basis. Inadequate sleep can have adverse outcomes for health and safety. Electroencephalogram (EEG) has been presented as an authentic indicator to monitor brain activities. In this review paper, different procedures of EEG tests for recording and monitoring brain activity during sleep such as the EEG electrodes system and the Dreem headband (DH) have been introduced. Also, the processes of recording and analyzing the data have been discussed and compared with each other. The results of various stages of sleep from EEG tests help sleep specialists diagnose or evaluate sleep disorders accurately and choose appropriate strategies. Sleep disorder management is integral to provide patients with a safe sleeping environment.

ipRGCs: possible causation accounts for the higher prevalence of sleep disorders in glaucoma patients

Sleep accounts for a third of one＇s lifetime, partial or complete deprivation of sleep could elicit sever disorders of body function. Previous studies have reported the higher prevalence of sleep disorders in glaucoma patients, but the definite mechanism for this phenomenon is unknown. On the other hand, it is well known by us that the intrinsically photosensitive retinal ganglion cells（ip RGCs） serve additional ocular functions, called non-image-forming（NIF） functions, in the regulation of circadian rhythm, melatonin secretion, sleep, mood and others. Specifically, ip RGCs can directly or indirectly innervate the central areas such as suprachiasmatic nucleus（SCN）, downstream pineal gland（the origin of melatonin）, sleep and wake-inducing centers and mood regulation areas, making NIF functions of ip RGCs relate to sleep. The more interesting thing is that previous research showed glaucoma not only affected visual functions such as the degeneration of classical retinal ganglion cells（RGCs）, but also affected ip RGCs. Therefore, we hypothesize that higher prevalence of sleep disorders in glaucoma patients maybe result from the underlying glaucomatous injuries of ip RGCs leading to the abnormalities of diverse NIF functions corresponding to sleep.

Progress of TCM Syndrome Differentiation and Treatment of Hypertension with Sleep Disorders

It has been discovered that the number of hypertensive patients with various types of sleep disorders is on the rise,which significantly increases the morbidity and mortality of cardiovascular diseases.Modern medicine has not reached a consensus on the mechanism and treatment of these diseases but relies on drugs to improve sleep disorders and blood pressure.We regard TCM syndrome differentiation as the breakthrough point,along with comprehensive modern and traditional medical methods based on dialectical thinking as means of holistic and symptomatic treatment of Western medicine integrated with the eight principles of TCM diagnosis,Zang-Fu organs,six meridians,Qi,blood and fluid,as well as other dialectical methods,in order to provide a broader idea for TCM treatment and lay a foundation for further and better development of integrated TCM and Western medicine treatment.

Comparison of horse and cow milk on sleep disorders in children with attention deficit hyperactivity disorder:a double-blind randomized clinical trial study

Approximately 25%–50%of children with attention deficit hyperactivity disorder have sleep problems.The aim of this study is to compare the effect of horse milk with conventionally-fed cow’s milk on sleep disorders in children with attention deficit hyperactivity disorder.In this randomized double-blind crossover study,30 patients with attention deficit hyperactivity disorder were randomly selected and divided into two groups.All patients underwent a 45-day period of horse milk consumption and a 45-day period of cow milk consumption and they continued their drug treatment.A one-week interval between two periods of milk consumption was considered as the washout period.The severity of sleep disorder in the studied patients was determined based on the short form of the Children’s Sleep Habits Questionnaire(CSHQ).Twenty-two(73.3%)male and eight(26.7%)female patients were included in this study.The mean age of the patients was 8.9 years.Our results showed that horse milk consumption improved the CSHQ score.For the group of patients consuming horse milk prior to cow milk,reductions of total CSHQ(P-value=0.001)and subscale 1(P-value<0.001)scores were significant.For the group of patients consuming cow milk first,in addition to the total CSHQ(P-value<0.001),subscale 3(P-value=0.001)and 4(P-value=0.009)dropped significantly.On the other hand,the results indicated that cow milk consumption increased the CSHQ score.Specifically,for the group of patients consuming horse milk first,the total CSHQ(P-value=0.001),subscale 3(P-value=0.016),and subscale 4(P-value=0.010)increased significantly.The mean values of the first,second,third,and fourth subscales of CSHQ before and after the washout period were not significantly different between the two groups.According to the study,consuming horse milk was significantly better than cow milk in improving the total score of CSHQ in children with attention deficit hyperactivity disorder.

Evaluation of the Clinical Efficacy of Acupuncture and Moxibustion Combined with Repetitive Transcranial Magnetic Stimulation on Cognitive Function and Sleep Disorders in Patients with Mild Vascular Dementia

Objective:To explore the clinical effects of acupuncture and repeated transcranial magnetic stimulation in patients with mild vascular dementia.Method:From May 2020 to May 2021,40 patients with mild vascular dementia in Harbin Fourth Hospital(our hospital)were divided into the experimental group(20 cases,using conventional drugs+acupuncture+repeated transcranial magnetic stimulation)and the control group(20 cases,for example,the application of conventional medication).The improvement of cognitive function score,sleep quality score,quality of life score,and cerebral hemodynamics before and after treatment were compared between the two groups.Result:Before treatment,the difference in cognitive function score,sleep quality score,quality of life score,and cerebral hemodynamic index between the two groups of patients did not form,that is,p>0.05;after treatment,the experimental group5s cognitive function score was(19.45±2.47)points,Sleep quality score(12.18±2.09),quality of life score(33.29±4.08),left cerebral blood flow velocity(65.76±3.32)cm/s,right cerebral blood flow velocity(64.32±3.25)cm/s,more For the control group,P<0.05・Conclusion:In the clinical treatment of patients with mild vascular dementia,based on conventional drugs,combined with acupuncture and repetitive transcranial magnetic stimulation,the patients?cognitive function can be improved,and the quality of sleep and quality of life can be improved.Comprehensive clinical promotion.

Effects of serum inflammatory factors,health index and disease activity scores on ankylosing spondylitis patients with sleep disorder

BACKGROUND Patients with ankylosing spondylitis(AS)frequently suffer from comorbid sleep disorders,exacerbating the burden of the disease and affecting their quality of life.AIM To investigate the clinical significance of serum inflammatory factors,health index and disease activity scores in patients with AS complicated by sleep disorders.METHODS A total of 106 AS patients with comorbid sleep disorders were included in the study.The patients were grouped into the desirable and undesirable prognosis groups in accordance with their clinical outcomes.The serum levels of inflammatory factors,including C-reactive protein,erythrocyte sedimentation rate,interleukin(IL)-6,tumour necrosis factor-αand IL-1β,were measured.Disease activity scores,such as the Bath AS functional index,Bath AS disease activity index,Bath AS metrology index and AS disease activity score,were assessed.The health index was obtained through the Short Form-36 questionnaire.RESULTS The study found significant associations amongst serum inflammatory factors,health index and disease activity scores in AS patients with comorbid sleep disorders.Positive correlations were found between serum inflammatory factors and disease activity scores,indicating the influence of heightened systemic inflammation on disease severity and functional impairment.Conversely,negative correlations were found between disease activity scores and health index parameters,highlighting the effect of disease activity on various aspects of healthrelated quality of life.Logistic regression analysis further confirmed the predictive value of these factors on patient outcomes,underscoring their potential utility in risk assessment and prognostication.CONCLUSION The findings demonstrate the intricate interplay amongst disease activity,systemic inflammation and patientreported health outcomes in AS patients complicated by sleep disorders.The results emphasise the need for comprehensive care strategies that address the diverse needs and challenges faced by these patients and underscore the potential relevance of serum inflammatory factors,health index and disease activity scores as prognostic markers in this patient population.

Effectiveness of Xiaoyao capsule(逍遥丸)on sleep disorders and mood disturbance in patients in recovery from coronavirus disease 2019:a randomized controlled trial

OBJECTIVE:To study the efficacy of Xiaoyao capsule(逍遥丸)in improving the clinical symptoms of sleep and mood disorders during recovery from coronavirus disease 2019(COVID-19).METHODS:The study cohort comprised 200 patients with sleep and mood disorders during recovery from COVID-19.Patients were randomized into the control group and the experimental group in a 1:1 ratio by blocked randomization.The patients received either Xiaoyao capsule(experimental group)or a placebo Xiaoyao capsule(control group)for 2 weeks.The improvements in the Traditional Chinese Medicine(TCM)syndrome scales,total effective rates,and disappearance rates of irritability,anxiety,and poor sleep were compared between the two groups.RESULTS:The TCM syndrome pattern scales,total effective rates,and disappearance rates of irritability,anxiety,and poor sleep did not significantly differ between the experimental group versus the control group in the full analysis set and the per protocol set after 1 and 2 weeks of treatment(P>0.05).CONCLUSIONS:Xiaoyao capsule do not significantly improve the clinical symptoms of sleep and mood disorders in patients in recovery from COVID-19.

Reconsidering the role of depression and common psychiatric disorders as partners in the type 2 diabetes epidemic

Common psychiatric disorders(CPDs)and depression contribute significantly to the global epidemic of type 2 diabetes(T2D).We postulated a possible pathophysiological mechanism that through Bridge-Symptoms present in depression and CPDs,promotes the establishment of emotional eating,activation of the reward system,onset of overweight and obesity and,ultimately the increased risk of developing T2D.The plausibility of the proposed pathophysiological mechanism is supported by the mechanism of action of drugs such as naltrexonebupropion currently approved for the treatment of both obesity/overweight with T2D and as separate active pharmaceutical ingredients in drug addiction,but also from initial evidence that is emerging regarding glucagon-like peptide 1 receptor agonists that appear to be effective in the treatment of drug addiction.We hope that our hypothesis may be useful in interpreting the higher prevalence of CPDs and depression in patients with T2D compared with the general population and may help refine the integrated psychiatric-diabetic therapy approach to improve the treatment and or remission of T2D.

Relevance of sleep for wellness:New trends in using artificial intelligence and machine learning

Sleep and well-being have been intricately linked,and sleep hygiene is paramount for developing mental well-being and resilience.Although widespread,sleep disorders require elaborate polysomnography laboratory and patient-stay with sleep in unfamiliar environments.Current technologies have allowed various devices to diagnose sleep disorders at home.However,these devices are in various validation stages,with many already receiving approvals from competent authorities.This has captured vast patient-related physiologic data for advanced analytics using artificial intelligence through machine and deep learning applications.This is expected to be integrated with patients’Electronic Health Records and provide individualized prescriptive therapy for sleep disorders in the future.

Sleep disorders and its related risk factors in patients undergoing chronic peritoneal dialysis

Background The prevalence of sleep disorders has been shown to be high in patients with chronic dialysis patients and may contribute to impaired quality of life and higher mortality in this population.However,there are few data on the relationship of sleep disorders and their risk factors in chronic dialysis patients.The aim of this study was to evaluate the relationship of sleep disorders and their risk factors in chronic dialysis patients.Methods A total of 42 continuous ambulatory peritoneal dialysis （CAPD） patients were involved in this cross-sectional study.Sleep quality was assessed by the Pittsburgh Sleep Quality Index （PSQI）.Restless legs syndrome （RLS） was diagnosed according to the criteria of the International Restless Legs Syndrome Study Group.And depression was assessed by Hamilton depression scale.General information and laboratory data were collected.Results The prevalence of sleep disorders was 47.6％ in the CAPD patients.According to the PSQI,the 42 CAPD patients were divided into sleep disturbance group and non-sleep disorders group.There were no significant differences in age,gender,dialysis duration,hemoglobin,serum creatinine,urea nitrogen,β2-microglobulin,parathyroid hormone,calcium,and phosphorus between CAPD patients with sleep disorders and those without sleep disorders.But the level of serum albumin （AIb） in CAPD patients with sleep disorders was significantly lower than that in CAPD patients without sleep disorders （31.3±1.4 vs.34.3±3.7,t=3.603,P=0.001）.And the prevalence of RLS and depression was significantly higher than that in CAPD patients without sleep disorders （RLS：11/22 vs.1/20,x2=10.395,P=0.001; depression：7/22 vs.1/20,x2=4.886,P=0.027）.In CAPD patients with RLS,the prevalence of sleep disorders was significantly higher than that in CAPD patients without RLS （11/22 vs.11/30,x2=10.395,P=0.001）.And in CAPD patients with depression,the prevalence of sleep disorders was significantly higher than that in CAPD patients without depression （7/8 vs.15/34,x2=4.886,P=0.027）.In CAPD patients,bivariate correlation analysis showed that sleep disorders was negatively correlated with serum AIb （r=-0.606,P=0.000） and positively correlated with RLS （r=0.497,P=0.001） and depression （r=0.341,P=0.029）.Multivariate regression analysis revealed that the odds ratio of RLS,depression,and low serum AIb was 22.900,42.209,and 0.597,respectively.Conclusions The prevalence of sleep disorders was relatively high in CAPD patients.RLS,depression,and low serum AIb were the risk factors for CAPD patients with sleep disorders.

Sleep Disorders in Parkinson＇s Disease： Present Status and Future Prospects

INTRODUCTION Parkinson＇s disease （PD） is the second most common neurodegenerative disorder in the world. In China, approximately 48-89% of Chinese patients with PD have been shown to be affected by sleep disorders, in recent decades, there have been major advances in our understanding of the relationship between sleep disorders and PD, yet many questions remain unanswered.

Effects of Sleep Disorders on Hemoglobin Alc Levels in Type 2 Diabetic Patients

Background： Studies have reported the presence of sleep disorders in approximately 50-70% of diabetic patients, and these may contribute to poor glycemic control, diabetic neuropathy, and overnight hypoglycemia. The aim of this study was to determine the frequency of sleep disorders in diabetic patients, and to investigate possible relationships between scores of these sleep disorders and obstructive sleep apnea syndrome （OSAS） and diabetic parameters （fasting blood glucose, glycated hemoglobin Alc [HbA lc], and lipid levels）. Methods： We used the Berlin questionnaire （BQ） for OSAS, the Epworth Sleepiness Scale （ESS）, and the Pittsburgh Sleep Quality Index （PSQI） to determine the frequency of sleep disorders and their possible relationships with fasting blood glucose, HbA I c, and lipid levels. Results： The study included 585 type 2 diabetic patients admitted to family medicine clinics between October and December 2014. Sleep, sleep quality, and sleep scores were used as the dependent variables in the analysis. The ESS scores showed that 54.40% of patients experienced excessive daytime sleepiness, and according to the PSQI, 64.30% experienced poor-quality sleep. The BQ results indicated that 50.20% of patients were at high-risk of OSAS. HbAlc levels correlated significantly with the ESS and PSQI results （r = 0.23, P 〈 0.001 and r = 0.14, P = 0.001, respectively）, and were significantly higher in those with high-risk of OSAS as defined by the BQ （P 〈 0.001 ）. These results showed that HbAlc levels were related to sleep disorders. Conclusions： Sleep disorders are common in diabetic patients and negatively affect the control of diabetes. Conversely, poor diabetes control is an important factor disturbing sleep quality. Addressing sleep disturbances in patients who have difficulty controlling their blood glucose has dual benefits： Preventing diabetic cornplications caused by sleep disturbance and improving diabetes control.

Management of Anxiety and Sleep Disorders:Role of Complementary and Alternative Medicine and Challenges of Integration with Conventional Orthodox Care

There is renewed attention and greater focus on anxiety and sleep- related disturbances because of the high prevalence, complexity, and their health implications. The role of complementary and alternative medicine （CAM）, which refers to therapeutic approaches that are ＂complementary to the end goals of decreasing illness and enhancing wellness, but are alternative to conventional medical treatment＂ is also increasingly recognized. In this review, we considered CAM approach to the management of anxiety and sleep disorders and discussed a few challenges associated with the effective integration of alternative therapy with conventional orthodox medical care

Artificial intelligence in sleep medicine:Present and future

Artificial intelligence(AI)has impacted many areas of healthcare.AI in healthcare uses machine learning,deep learning,and natural language processing to analyze copious amounts of healthcare data and yield valuable outcomes.In the sleep medicine field,a large amount of physiological data is gathered compared to other branches of medicine.This field is primed for innovations with the help of AI.A good quality of sleep is crucial for optimal health.About one billion people are estimated to have obstructive sleep apnea worldwide,but it is difficult to diagnose and treat all the people with limited resources.Sleep apnea is one of the major contributors to poor health.Most of the sleep apnea patients remain undiagnosed.Those diagnosed with sleep apnea have difficulty getting it optimally treated due to several factors,and AI can help in this situation.AI can also help in the diagnosis and management of other sleep disorders such as insomnia,hypersomnia,parasomnia,narcolepsy,shift work sleep disorders,periodic leg movement disorders,etc.In this manuscript,we aim to address three critical issues about the use of AI in sleep medicine:(1)How can AI help in diagnosing and treating sleep disorders?(2)How can AI fill the gap in the care of sleep disorders?and(3)What are the ethical and legal considerations of using AI in sleep medicine?