Artificial Intelligence Screening Tool for Obstructive Sleep Apnoea: A Study Based on Outpatients at a Sleep Medical Centre
The AISM exhibits good accuracy, and the use of an objective and convenient sleep detection device to screen a large sample population of outpatients is feasible. The prevalence of OSA in adults in sleep clinics is high, and age, sex, and BMI are risk factors for OSA.
Authors
- Jian Liang Tan (ORCID: https://orcid.org/0000-0002-1083-8259)
- Dongsheng Yu (ORCID: https://orcid.org/0000-0003-4222-3985)
- Cheng Li (ORCID: https://orcid.org/0000-0002-2874-6731)
- Wei Chen (ORCID: https://orcid.org/0000-0003-4412-9060)
- Tiantian Peng
- Kai Lv
Institutions
- Central Hospital of Wuhan (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Nature and Science of Sleep
- Published
- 2025-03-01
- DOI
- https://doi.org/10.2147/nss.s503124
- Citations
- 1
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 1.16