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

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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