Enhanced sleep staging with artificial intelligence: a validation study of new software for sleep scoring.

Autor:	Grassi M; Medibio Limited, Savage, MN, United States.; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.; Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Albese con Cassano, Italy., Daccò S; Medibio Limited, Savage, MN, United States.; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.; Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Albese con Cassano, Italy.; Humanitas San Pio X, Personalized Medicine Center for Anxiety and Panic Disorders, Milan, Italy., Caldirola D; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.; Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Albese con Cassano, Italy.; Humanitas San Pio X, Personalized Medicine Center for Anxiety and Panic Disorders, Milan, Italy., Perna G; Medibio Limited, Savage, MN, United States.; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.; Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Albese con Cassano, Italy.; Humanitas San Pio X, Personalized Medicine Center for Anxiety and Panic Disorders, Milan, Italy.; Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine, and Life Sciences, Research Institute of Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands., Schruers K; Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine, and Life Sciences, Research Institute of Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands., Defillo A; Medibio Limited, Savage, MN, United States.
Jazyk:	angličtina
Zdroj:	Frontiers in artificial intelligence [Front Artif Intell] 2023 Dec 05; Vol. 6, pp. 1278593. Date of Electronic Publication: 2023 Dec 05 (Print Publication: 2023).
DOI:	10.3389/frai.2023.1278593
Abstrakt:	Manual sleep staging (MSS) using polysomnography is a time-consuming task, requires significant training, and can lead to significant variability among scorers. STAGER is a software program based on machine learning algorithms that has been developed by Medibio Limited (Savage, MN, USA) to perform automatic sleep staging using only EEG signals from polysomnography. This study aimed to extensively investigate its agreement with MSS performed during clinical practice and by three additional expert sleep technicians. Forty consecutive polysomnographic recordings of patients referred to three US sleep clinics for sleep evaluation were retrospectively collected and analyzed. Three experienced technicians independently staged the recording using the electroencephalography, electromyography, and electrooculography signals according to the American Academy of Sleep Medicine guidelines. The staging initially performed during clinical practice was also considered. Several agreement statistics between the automatic sleep staging (ASS) and MSS, among the different MSSs, and their differences were calculated. Bootstrap resampling was used to calculate 95% confidence intervals and the statistical significance of the differences. STAGER's ASS was most comparable with, or statistically significantly better than the MSS, except for a partial reduction in the positive percent agreement in the wake stage. These promising results indicate that STAGER software can perform ASS of inpatient polysomnographic recordings accurately in comparison with MSS. Competing Interests: MG, SD, and GP are scientific consultants for Medibio Limited (Savage, MN, USA). AD holds the position of Chief Medical Officer at Medibio Limited (Savage, MN, USA). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Grassi, Daccò, Caldirola, Perna, Schruers and Defillo.)
Databáze:	MEDLINE
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