On-Device Deep Learning to Detect Carotid Stenosis With Smartphones: Development and Validation

Stroke. 2024 Nov;55(11):e295-e296. doi: 10.1161/STROKEAHA.124.048410. Epub 2024 Sep 5.

JoonNyung Heo^{1

2}, Hyungwoo Lee¹, Sun Yoon³, Min Jeoung Kim³, Eunjeong Park⁴, Byung Moon Kim³, Dong Joon Kim³, Young Dae Kim^{1

4}, Byung-Hoon Kim^{5

6

7}, Hyo Suk Nam^{1

4}

¹ Department of Neurology (J.H., H.L., Y.D.K., H.S.N.), Yonsei University College of Medicine, Seoul, South Korea.
² Department of Neurology, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, South Korea (J.H.).
³ Department of Radiology (S.Y., M.J.K., B.M.K., D.J.K.), Yonsei University College of Medicine, Seoul, South Korea.
⁴ Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Seoul, South Korea (E.P., Y.D.K., H.S.N.).
⁵ Department of Biomedical Systems Informatics (B.-H.K.), Yonsei University College of Medicine, Seoul, South Korea.
⁶ Department of Psychiatry (B.-H.K.), Yonsei University College of Medicine, Seoul, South Korea.
⁷ Institute of Behavioral Sciences in Medicine (B.-H.K.), Yonsei University College of Medicine, Seoul, South Korea.

No abstract available

Keywords: arrhythmias; cardiac; constriction, pathologic; plaque, atherosclerotic; prospective studies; stroke.

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