CAISR: achieving human-level performance in automated sleep analysis across all clinical sleep metrics
The CAISR model demonstrated high classification accuracy and reliability across sleep staging, arousal, apnea, and limb movement detection tasks, matching or surpassing human expert performance. Human errors and systematic biases in the annotation of micro-events during sleep, such as arousal and apnea detection, likely contributed to variability in expert performance, while the CAISR model showed more consistent results, reducing the impact of these biases and increasing overall reliability across task.
Authors
- Manohar Ghanta (ORCID: https://orcid.org/0009-0004-8488-3644)
- Wolfgang Ganglberger (ORCID: https://orcid.org/0000-0002-6029-2450)
- Lynn Marie Trotti (ORCID: https://orcid.org/0000-0003-2329-6847)
- Michael Brandon Westover (ORCID: https://orcid.org/0000-0003-4803-312X)
- ROBERT JOSEPH THOMAS (ORCID: https://orcid.org/0000-0002-5575-3953)
- Thijs Nassi
- Samaneh Nasiri (ORCID: https://orcid.org/0000-0002-4216-026X)
- Umakanth Katwa
- Haoqi Sun (ORCID: https://orcid.org/0000-0002-5041-8312)
- Gari D. Clifford (ORCID: https://orcid.org/0000-0002-5709-201X)
- Emmanuel Mignot (ORCID: https://orcid.org/0000-0002-6928-5310)
- Oliver Sum‐Ping (ORCID: https://orcid.org/0000-0001-7414-8583)
- Valdery Moura (ORCID: https://orcid.org/0000-0001-5735-9143)
- Dennis Hwang (ORCID: https://orcid.org/0000-0002-4070-1640)
- Magnus Ruud Kjær
- Katie L Stone
- Erik‐Jan Meulenbrugge (ORCID: https://orcid.org/0000-0002-1580-4170)
- Aditya Gupta (ORCID: https://orcid.org/0000-0002-5243-368X)
Institutions
- Boston Children's Hospital (US)
- Georgia Institute of Technology (US)
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- Emory University (US)
- Palo Alto University (US)
- University of California, San Francisco (US)
- California Pacific Medical Center (US)
- Massachusetts General Hospital (US)
- San Bernardino County Department of Public Health (US)
- Boston Children's Museum (US)
- University of Twente (NL)
- Stanford University (US)
Publication Details
- Journal
- SLEEP
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1093/sleep/zsaf134
- Citations
- 4
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 4.66