Automated deep neural network analysis of lateral cephalogram data can aid in detecting obstructive sleep apnea-Reference-Cited by-同舟云学术

Automated deep neural network analysis of lateral cephalogram data can aid in detecting obstructive sleep apnea

Published:2023-02 Issue:2 Volume:19 Page:327-337
ISSN:1550-9389
Container-title:Journal of Clinical Sleep Medicine
language:en
Short-container-title:Journal of Clinical Sleep Medicine

Author:

Jeong Han-Gil¹²³,Kim Tackeun¹²,Hong Ji Eun²,Kim Hyun Ji³,Yun So-Yeon³,Kim Sejoong²⁴,Yoo Jun⁵,Lee Seung Hoon⁵,Thomas Robert Joseph⁶,Yun Chang-Ho³

Affiliation:

1. Department of Neurosurgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea

2. Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

3. Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea

4. Division of Nephrology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea

5. Department of Otorhinolaryngology–Head and Neck Surgery, Korea University College of Medicine, Korea University Ansan Hospital, Ansan-si, Republic of Korea

6. Department of Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts

Publisher

American Academy of Sleep Medicine (AASM)

Subject

Neurology (clinical),Neurology,Pulmonary and Respiratory Medicine

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