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Updated: Jan 13, 2026

Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models
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Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models

Published on: March 1, 2015

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基于人工智能的视频分析平台的多中心验证,用于自动评估吞障碍

Chang-Won Jeong1, Dong-Wook Lim1, Si-Hyeong Noh1

  • 1STSC Center, Wonkwang University, Iksan 54538, Republic of Korea.

Diagnostics (Basel, Switzerland)
|January 10, 2026
PubMed
概括

这项研究开发了一个AI模型来解释视频光学吞研究 (VFSS) 视频,准确地诊断渴望和透,并具有强大的外部验证. 人工智能显示出改善吞障碍评估的希望.

关键词:
人工智能的人工智能是人工智能.失足症是一种失足症.机器学习是机器学习.康复康复康复康复康复康复一次性中风中风中风中风中风吞吞吞吞吞吞吞吞视频 视频 视频 视频 视频

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This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
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