A Flexible Endoscopic Evaluation of Swallowing with an Artificial Intelligence-assisted Computer-aided Diagnosis

Flexible endoscopic evaluation of swallowing (FEES) is a standard procedure for diagnosing swallowing impairment. FEES has favorable features as an instrumental examination for swallowing impairment, as it is portable and can be used at the bedside. However, the appropriate evaluation of FEES findings is challenging. Therefore, the interpretation of FEES results may vary among evaluators with different levels of experience and skills. One potential solution for evaluating the findings of FEES is an artificial intelligence (AI)-assisted computer-aided diagnosis (CAD). Recent progress in deep learning has highlighted the use of AI-assisted CADs in medical applications. We investigated the effectiveness of an AI-assisted CAD for FEES.

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Publication Details

Journal
Koutou (THE LARYNX JAPAN)
Published
2024-12-01
DOI
https://doi.org/10.5426/larynx.36.110
Primary Topic
Dysphagia Assessment and Management
Type
article
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article

A Flexible Endoscopic Evaluation of Swallowing with an Artificial Intelligence-assisted Computer-aided Diagnosis

Mitsuyoshi Imaizumi
Koutou (THE LARYNX JAPAN)
Dysphagia Assessment and Management
article

A Flexible Endoscopic Evaluation of Swallowing with an Artificial Intelligence-assisted Computer-aided Diagnosis

Mitsuyoshi Imaizumi
article en

Abstract

Flexible endoscopic evaluation of swallowing (FEES) is a standard procedure for diagnosing swallowing impairment. FEES has favorable features as an instrumental examination for swallowing impairment, as it is portable and can be used at the bedside. However, the appropriate evaluation of FEES findings is challenging. Therefore, the interpretation of FEES results may vary among evaluators with different levels of experience and skills. One potential solution for evaluating the findings of FEES is an artificial intelligence (AI)-assisted computer-aided diagnosis (CAD). Recent progress in deep learning has highlighted the use of AI-assisted CADs in medical applications. We investigated the effectiveness of an AI-assisted CAD for FEES.

Koutou (THE LARYNX JAPAN)Vol. 36(2)
Fukushima Medical University (JP)
Zero hunger
Openalex Percentile: Top 59%
Dysphagia Assessment and Management
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