Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation.
Saved in:
| 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; Vol. 16 (1). 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: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
