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Related Concept Videos

Endoscopic Procedures I: Esophagogastroduodenoscopy01:29

Endoscopic Procedures I: Esophagogastroduodenoscopy

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An Esophagogastroduodenoscopy (EGD) is a diagnostic procedure in which an endoscopist uses a flexible, lighted endoscope to visualize the upper gastrointestinal (GI) tract. The procedure includes visualizing the oropharynx, esophagus, stomach, and the first part of the small intestine, the duodenum.
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The Barium Swallow Study, or a Barium Esophagogram, is a diagnostic imaging method used to visualize the upper gastrointestinal (GI) tract, including the esophagus, stomach, and small intestine. It employs barium sulfate, a radiopaque contrast material, to provide clear images of the upper digestive system, helping to identify abnormalities, diseases, or structural issues.
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Related Experiment Video

Updated: May 23, 2025

Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models
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Current Technological Advances in Dysphagia Screening: Systematic Scoping Review.

Duo Wai-Chi Wong1, Jiao Wang1,2, Sophia Ming-Yan Cheung3

  • 1Department of Biomedical Engineering, Faculty of Engineering, Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).

Journal of Medical Internet Research
|May 5, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and sensor technologies show promise for screening dysphagia in older adults. However, current studies have significant methodological limitations impacting real-world applicability.

Keywords:
AIartificial intelligenceaspirationcomputational deglutitioncomputer-aided diagnosisdeep learningdigital healthmachine learningswallowing disorder

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Area of Science:

  • Biomedical Engineering
  • Gerontology
  • Artificial Intelligence

Background:

  • Dysphagia impacts over 50% of older adults with dementia, increasing mortality risk.
  • Accessible, objective, and reliable dysphagia screening tools are essential for early detection and management.

Purpose of the Study:

  • To review the current state of AI and sensor-based technologies for dysphagia screening.
  • To evaluate the performance of these AI-based tools.
  • To assess the methodological quality and rigor of relevant studies.

Main Methods:

  • Systematic scoping review following PRISMA-ScR guidelines.
  • Searched CINAHL, Embase, PubMed, Web of Science.
  • Included studies using sensor-based instruments with AI for dysphagia detection; excluded pediatric/infant cases.

Main Results:

  • 24 studies included 2979 participants; most focused on individual classification.
  • Acoustic and vibratory signals were primary modalities; multimodal systems showed better performance.
  • Wide performance variation; significant risk of bias in patient selection, index testing, and AI modeling; no external validation.

Conclusions:

  • AI and sensor-based technologies offer potential for tele-swallowing assessments.
  • Methodological limitations, including lack of external validation, hinder real-world application.
  • Future research should focus on modality-specific targeting and multimodal system enhancement for complex dysphagia cases.