An important step toward automation of polysomnography analyses

Affiliations

¹ Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
² Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.
³ Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy.

Editorial

Matteo Cesari et al. Sleep. 2025.

. 2025 Aug 14;48(8):zsaf147.

doi: 10.1093/sleep/zsaf147.

¹ Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
² Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.
³ Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy.

No abstract available

Comment on

CAISR: achieving human-level performance in automated sleep analysis across all clinical sleep metrics.
Nasiri S, Ganglberger W, Nassi T, Meulenbrugge EJ, Moura Junior V, Ghanta M, Gupta A, Stone KL, Kjaer MR, Sum-Ping O, Mignot E, Hwang D, Trotti LM, Clifford GD, Katwa U, Sun H, Thomas RJ, Westover MB. Nasiri S, et al. Sleep. 2025 Aug 14;48(8):zsaf134. doi: 10.1093/sleep/zsaf134. Sleep. 2025. PMID: 40554678 Free PMC article.

1. Cesari M, Stefani A, Penzel T, et al. Interrater sleep stage scoring reliability between manual scoring from two European sleep centers and automatic scoring performed by the artificial intelligence-based Stanford-STAGES algorithm. J Clin Sleep Med. 2021;17(6):1237–1247. doi: https://doi.org/ 10.5664/jcsm.9174 - DOI - PMC - PubMed
1. Itil TM, Shapiro DM, Fink M, Kassebaum D. Digital computer classifications of EEG sleep stages. Electroencephalogr Clin Neurophysiol. 1969;27(1):76–83. doi: https://doi.org/ 10.1016/0013-4694(69)90112-6 - DOI - PubMed
1. Bandyopadhyay A, Oks M, Sun H, et al. Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary. J Clin Sleep Med. 2024;20(7):1183–1191. doi: https://doi.org/ 10.5664/jcsm.11132 - DOI - PMC - PubMed
1. Hermans LWA, Huijben IAM, van Gorp H, et al. Representations of temporal sleep dynamics: Review and synthesis of the literature. Sleep Med Rev. 2022;63:101611. doi: https://doi.org/ 10.1016/j.smrv.2022.101611 - DOI - PubMed
1. Fiorillo L, Puiatti A, Papandrea M, et al. Automated sleep scoring: a review of the latest approaches. Sleep Med Rev. 2019;48:101204. doi: https://doi.org/ 10.1016/j.smrv.2019.07.007 - DOI - PubMed