AIMC Topic: Deglutition Disorders
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Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies.
Scientific reports
Oct 16, 2023
Temporal parameters during swallowing are analyzed for objective and quantitative evaluation of videofluoroscopic swallowing studies (VFSS). Manual analysis by clinicians is time-consuming, complicated and prone to human error during interpretation; ...
Technical note: Evaluation of deep learning based synthetic CTs clinical readiness for dose and NTCP driven head and neck adaptive proton therapy.
Medical physics
Oct 13, 2023
BACKGROUND: Adaptive proton therapy workflows rely on accurate imaging throughout the treatment course. Our centre currently utilizes weekly repeat CTs (rCTs) for treatment monitoring and plan adaptations. However, deep learning-based methods have re...
The robot can break bars with the best of them: a novel approach to treating cricopharyngeal bars with myotomy.
Surgical endoscopy
Sep 13, 2023
INTRODUCTION: Failure of the cricopharyngeus to relax results in oropharyngeal dysphagia, which over time results in hypertrophy and increased risk for aspiration. Open myotomy is one definitive treatment option, however there are several drawbacks a...
Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia.
IEEE journal of biomedical and health informatics
Feb 3, 2023
Dysphagia occurs secondary to a variety of underlying etiologies and can contribute to increased risk of adverse events such as aspiration pneumonia and premature mortality. Dysphagia is primarily diagnosed and characterized by instrumental swallowin...
Deep Learning for Automatic Hyoid Tracking in Videofluoroscopic Swallow Studies.
Dysphagia
Apr 28, 2022
The hyoid bone excursion is one of the most important gauges of larynx elevation in swallowing, contributing to airway protection and bolus passage into the esophagus. However, the implications of various parameters of hyoid bone excursion, such as t...
Deep Learning Analysis to Automatically Detect the Presence of Penetration or Aspiration in Videofluoroscopic Swallowing Study.
Journal of Korean medical science
Feb 14, 2022
BACKGROUND: Videofluoroscopic swallowing study (VFSS) is currently considered the gold standard to precisely diagnose and quantitatively investigate dysphagia. However, VFSS interpretation is complex and requires consideration of several factors. The...
A Machine Learning-Based Screening Test for Sarcopenic Dysphagia Using Image Recognition.
Nutrients
Nov 10, 2021
BACKGROUND: Sarcopenic dysphagia, a swallowing disorder caused by sarcopenia, is prevalent in older patients and can cause malnutrition and aspiration pneumonia. This study aimed to develop a simple screening test using image recognition with a low r...
Automatic Hyoid Bone Tracking in Real-Time Ultrasound Swallowing Videos Using Deep Learning Based and Correlation Filter Based Trackers.
Sensors (Basel, Switzerland)
May 26, 2021
(1) Background: Ultrasound provides a radiation-free and portable method for assessing swallowing. Hyoid bone locations and displacements are often used as important indicators for the evaluation of swallowing disorders. However, this requires clinic...
RoSE: A Robotic Soft Esophagus for Endoprosthetic Stent Testing.
Soft robotics
Aug 4, 2020
Soft robotic systems are well suited for developing devices for biomedical applications. A bio-mimicking robotic soft esophagus (RoSE) is developed as an testing device of endoprosthetic stents for dysphagia management. Endoprosthetic stent placemen...
Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings.
Scientific reports
May 26, 2020
High resolution cervical auscultation is a very promising noninvasive method for dysphagia screening and aspiration detection, as it does not involve the use of harmful ionizing radiation approaches. Automatic extraction of swallowing events in cervi...
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