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Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation.

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Bibliographic Details
Title:	Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation.
Authors:	Kim JM; Department of Research Planning, Biomedical Research Institute, Seoul National University Bundang Hospital, Seongnam, South Korea.; Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea., Kim MS; College of Engineering Industrial and Management Engineering, Korea University, Seoul, South Korea., Choi SY; Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea., Kim HJ; Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea., Ryu JS; Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea. jseok337@snu.ac.kr.; Seoul National University College of Medicine, Seoul, South Korea. jseok337@snu.ac.kr.; Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, 13620, Gyeonggi-do, South Korea. jseok337@snu.ac.kr.
Source:	Scientific reports [Sci Rep] 2026 May 21. Date of Electronic Publication: 2026 May 21.
Publication Type:	Journal Article
Journal Info:	Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2045-2322
DOI:	10.1038/s41598-026-53618-w