Automated Sleep Staging: Are Algorithms Ready for the Clinic?
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Updated: Nov 5, 2026

IntelliSleepScorer, a Software Package with a Graphic User Interface for Mice Automated Sleep Stage Scoring
Published on: November 8, 2024
Madeleine Basist1, Laxminarayan Prabhakar1, Margarita Oks2
1Division of Pulmonary, Critical Care, and Sleep Medicine, Northwell Health, Lenox Hill Hospital, New York, NY, USA.
Abstract:
Sleep staging is an important tool to diagnose sleep disorders but can be a time-intensive process. The development of artificial intelligence-based automated sleep staging programs can alleviate barriers to scoring by improving efficiency and achieving standardized results. However, careful implementation of these programs is needed to ensure appropriate use. Artificial intelligence models can generate unreliable clinical results if models are not trained on heterogenous data that represent both common and infrequent sleep disorders. It is essential to recognize the limitations of artificial intelligence-based scoring prior to integration in clinical workflows to promote meaningful improvements in care delivery.
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