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Skip search results from other journals and go to results- 178 Journal of Medical Internet Research
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Wearable Artificial Intelligence for Sleep Disorders: Scoping Review
The majority of studies (42/46, 91%) focused on sleep apnea. Multimedia Appendix 4 provides the characteristics of each included study.
Characteristics of the included studies (N=46).
a Other includes the total number of studies where a feature was added as one.
b N/A: not applicable.
c Not any specific disorder, but in general, all characteristics considered for any specific disorder, such as breathing events, apnea, irregular breathing, snoring, and obstructive sleep apnea.
J Med Internet Res 2025;27:e65272
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Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by repetitive episodes of upper airway obstruction during sleep, which results in low oxygen saturation or frequent awakenings [1]. It has been associated with significant health risks, including cardiovascular diseases [2], cognitive impairment [3], and decreased quality of life [4].
JMIR Res Protoc 2025;14:e69757
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The constructs of e PROMs varied between 3 main categories: general health (eg, quality of life and health status), symptom monitoring (eg, for sleep, pain, anxiety, and depression), and self-management (eg, self-efficacy and patient activation).
Studies description.
J Med Internet Res 2025;27:e63639
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In an effort to manage chronic pain, some veterans become reliant on prescription opioids [8,9], which have numerous unintended health consequences such as increased risk of sleep-disordered breathing, cardiovascular complication, and bowel dysfunction, as well as opioid misuse and overdose [10-13]. In recent years, there has been increased attention on low-risk interdisciplinary treatment options for chronic pain management in the Department of Veterans Affairs (VA) system [14].
JMIR Res Protoc 2025;14:e72091
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(eg, benzodiazepines, melatonin, or herbal supplements)
Self-reported prepregnancy or current diagnosis of sleep disorders (eg, obstructive sleep apnea, periodic limb movement disorder, restless legs syndrome, or nightmare disorder)
Current shift work or night work
Suspected severe depressive symptoms (a score of ≥19 on the Edinburgh Postnatal Depression Scale [EPDS])
Active suicidality (a score of ≥2 on the 10th item of EPDS, indicating that the thoughts of harming themselves occur sometimes or quite often
J Med Internet Res 2025;27:e68084
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Current Technological Advances in Dysphagia Screening: Systematic Scoping Review
This method provided insights into the respiratory-swallowing coordination, laryngeal closure timing, risk of aspiration, and dysphagic compensatory mechanisms such as prolonged swallow apnea [60,61]. Conversely, EMG studies primarily focused on the infrahyoid muscle [50,51] and suprahyoid muscle groups [48,50,51], including the mylohyoid and geniohyoid muscles.
J Med Internet Res 2025;27:e65551
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longitudinal prediction for cardiac and cerebrovascular events following initial diagnosis of obstructive sleep apnea syndrome Multimodal prognostic model for predicting chronic coronary artery disease in patients without obstructive sleep apnea syndrome
J Med Internet Res 2025;27:e70587
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In this study, poorer SDM was linked to having greater sleep apnea severity for older adults without MCI. In contrast, for those with MCI, poorer performance was associated with decreased sleep spindle duration and smaller hippocampal subfield size. As various age-related sleep changes occur both naturally [7] and with neurodegenerative diseases [8,9], it is crucial to understand how these alterations impact SDM.
JMIR Aging 2025;8:e68147
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According to reports, photoplethysmography wearables have significant potential for estimating the risk of cardiovascular diseases [28], predicting suspected sleep apnea [29,30], and helping in the clinical diagnosis of hypertension [31] and diabetes. This potential can be harnessed through app solutions.
JMIR Res Protoc 2025;14:e65229
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Disturbed sleep patterns, such as an increased number of awakenings, abnormal nighttime sleep duration, and poorer sleep quality, are common among older adults [8]. Numerous epidemiological studies identified sleep disturbances as risk factors for physical frailty and cognitive impairment, such as shorter or longer sleep duration, insomnia, and sleep apnea [9,10]. In addition, recent studies have linked long sleep duration to cognitive frailty, but they are from cross-sectional analyses [11,12].
JMIR Aging 2025;8:e65183
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