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Dataset Information

Artificial intelligence tools for the assessment and management of dysphagia: protocol for a scoping review.


ABSTRACT:

Introduction

Dysphagia, or difficulty in swallowing, significantly impacts the quality of life of the affected individuals. Diagnostic approaches, including video fluoroscopic swallowing studies and flexible endoscopic evaluation of swallowing, are the most commonly used methods for assessing swallowing function. Recent advancements have led to the development of artificial intelligence (AI), including machine learning (ML) and deep learning (DL), which will provide innovative approaches to dysphagia diagnosis and treatment planning. There is a limited synthesis of literature on AI tools in dysphagia. There is an urgent need for a more rigorous and structured scoping review that can address the existing gaps, provide a more comprehensive evidence synthesis, and establish clearer gu

SUBMITTER: Sreedevi EV 

PROVIDER: S-EPMC12658538 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature