Application of artificial intelligence in the diagnosis of sleep apnea.
Bazoukis G, Bollepalli SC, Chung CT, Li X, Tse G, Bartley BL, Batool-Anwar S, Quan SF, Armoundas AA.
Bazoukis G, et al. Among authors: bollepalli sc.
J Clin Sleep Med. 2023 Jul 1;19(7):1337-1363. doi: 10.5664/jcsm.10532.
J Clin Sleep Med. 2023.
PMID: 36856067
Free PMC article.
Review.
Advancements in wearable sensor technology and ML models can help clinicians predict, diagnose, and classify sleep apnea more accurately and efficiently. CITATION: Bazoukis G, Bollepalli SC, Chung CT, et al. Application of artificial intelligence in the diagnosis of …
Advancements in wearable sensor technology and ML models can help clinicians predict, diagnose, and classify sleep apnea more accurately and …