Artificial Intelligence and Sleep Medicine
Abstract
Given the rapid advancement of artificial intelli-gence (AI), I aim to emphasize the emerging po-tential of AI in sleep medicine while also address-ing the challenges related to its adoption and im-plementation in clinical settings. AI has signifi-cantly enhanced our understanding of sleep pat-terns, enabling more precise diagnosis and per-sonalized treatment plans. Beyond sleep tracking, AI contributes to telemedicine, smartwatches, and more.
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2. Chakraborty C, Bhattacharya M, Pal S, et al. From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare. Curr Res Biotechnol 2024; 7: 100164.
3. Emami L, Najafi A, Qin H, et al. Current challenges and opportunities in global sleep medicine. In: Clete K, Editor. Encyclopedia of Sleep and Circadian Rhythms. 2nd ed. Amsterdam, Netherlands: Elsevier; 2023. p. 643-81.
4. Watson NF, Goldstein C, Rusk S, et al. How will artificial intelligence advance sleep medicine? In: Kus-hida CA, Editor. Encyclopedia of Sleep and Circadian Rhythms. 2nd ed. Amsterdam, Netherlands: Elsevier; 2023. p. 43-52.
5. Zanegeneh Soroush M. What Enables Our Brain to Dream? A Bio-Cybernetics View. J Sleep Sci 2023; 7: 51-2.
6. Zanegeneh Soroush M. Deep Learning in Sleep Medicine: Advantages and Drawbacks. J Sleep Sci 2021; 6: 51-2.
7. Xu S, Faust O, Seoni S, et al. A review of automated sleep disorder detection. Comput Biol Med 2022; 150: 106100.
8. Watson NF, Fernandez CR. Artificial intelligence and sleep: Advancing sleep medicine. Sleep Med Rev 2021; 59: 101512.
| Files | ||
| Issue | Vol 8 No 3-4 (2023): Summer-Autumn | |
| Section | Letter to Editor | |
| Keywords | ||
| Sleep Medicine Machine Learning Polysomnography Neuroscience Sleep Disorders Recognition Artificial Intelligence | ||
| Rights and permissions | |
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Zangeneh Soroush M. Artificial Intelligence and Sleep Medicine. J Sleep Sci. 2026;8(3-4):100-102.
