Applications based on Artificial Intelligence for swallowing analysis described in the literature: Scope Review
maiara tomanchieviez, Rafaela Soares Rech, Fernando Neves Hugo
Disclaimer
Author Contributions
All authors contributed to defining the theme and constructing the study design. MT and RSR developed this protocol under review by FNH. All authors will read and approve the final version of this protocol and this will also occur when writing the review.
Conflicts of interest
We declare that there are no conflicts of interest.
Abstract
Introduction: Considering the growing number of articles involving artificial intelligence strategies for analyzing the biomechanics of swallowing, understanding which mechanisms are being described in the studies and how the methodologies are outlined is essential to evaluate the real clinical application of these processes. Given the heterogeneity of studies found in the literature to provide an overview of this field, we considered carrying out a scoping review. The objective of this publication is to present a scoping review protocol on which applications based on Artificial Intelligence for swallowing analysis are described in the literature. Methods and analysis: The review will follow the Joanna Briggs Institute Scoping Review Protocol. The databases used for research will be Pubmed, Embase, Scopus and Web Of Science, in addition to gray literature using Google Scholar. Two independent reviewers will select the articles and disagreements will be resolved by a third reviewer. The results will be analyzed using descriptive statistics. Ethics and dissemination: An article will be published with the results of this review in a peer-reviewed journal. This study does not require approval from the research ethics committee.
