Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Transformative Insights: Unveiling the Potential of Artificial Intelligence in the Treatment of Sleep Disorders - A Comprehensive Review Subject The topic of the resource applications; Artificial intelligence; data analysis; deep learning; machine learning; predictive models; sleep disorder management; sleep disorders; sleep disorders diagnosis; sleep medicine; sleep monitoring; sleep quality; sleep therapy; sleep tracking; treatment Description An account of the resource Disruptions to sleep have a substantial influence on people's overall health and quality of life. The conventional techniques for diagnosing and managing sleep disorders usually rely on subjective assessments and qualitative evaluations, that may have some accuracy and efficacy limitations. Nevertheless, recent developments in the field of artificial intelligence (AI) have presented new opportunities for better diagnosing and treating problems with insomnia. The paper reviews in depth the uses of AI in the domain of medical sleep medicine. We look at the use of algorithmic techniques for deep learning and machine learning for identifying indicators of sleep-related issues, the assessment of sleep quality, sleep tracking, and the establishment of individualized sleep therapeutics. We also discuss how AI is being used to construct forecasting models that may be used to identify individuals who are at risk of experiencing sleep issues and improve treatment strategies. In addition, we talk about the challenges and potential outcomes of incorporating AI-based techniques into clinical practice. Overall, our research highlights how AI has the potential to transform the field of sleeping medicine and improve outcomes for people with sleep-related conditions. 2023 IEEE. Creator An entity primarily responsible for making the resource Nasir M.S.; Alam M.S.; Shahi F.I.; Kamal M.S.; Upreti K.; Vats P. Source A related resource from which the described resource is derived 2023 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2023 - Proceedings, pp. 223-228. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ETNCC59188.2023.10284945" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ETNCC59188.2023.10284945</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176752173&amp;doi=10.1109%2FETNCC59188.2023.10284945&amp;partnerID=40&amp;md5=3f141a35ba484e7d05ea6f3c1220c0de" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176752173&amp;doi=10.1109%2fETNCC59188.2023.10284945&amp;partnerID=40&amp;md5=3f141a35ba484e7d05ea6f3c1220c0de</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835031487-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nasir M.S., College of Cs and It, Jazan University, Dept. of Computer Science, Jazan, Saudi Arabia; Alam M.S., College of Cs and It, Jazan University, Dept. of Computer Science, Jazan, Saudi Arabia; Shahi F.I., Deanship of E-Learning and It, Jazan University, Jazan, Saudi Arabia; Kamal M.S., College of Cs and It, Jazan University, Dept. of Computer Science, Jazan, Saudi Arabia; Upreti K., Christ (Deemed to Be University), Dept. of Computer Science, Delhi NCR, Ghaziabad, India; Vats P., SCSE, Manipal University Jaipur, Faculty of Engg., Dept. of Cse, Rajasthan, Jaipur, India