Artificial intelligence in dysphagia since the 21st century: a bibliometric and visualization study

Area of Science:

• Bibliometrics
• Artificial Intelligence
• Dysphagia Research

Background:

• The field of dysphagia is increasingly adopting artificial intelligence (AI).
• Existing research on AI in dysphagia is fragmented, lacking a systematic overview of global contributions and trends.
• A comprehensive bibliometric review is needed to synthesize current knowledge and direct future research.

Purpose of the Study:

• To conduct a bibliometric and visual analysis of global research on artificial intelligence in dysphagia.
• To identify key publications, authors, institutions, countries, and thematic trends in the field.
• To map the research landscape and inform future interdisciplinary efforts.

Main Methods:

• Bibliometric and visual analysis of 633 articles.
• Data sourced from the Web of Science Core Collection (WoSCC) database (2000-2025).
• Analysis of publications, authors, institutions, countries, and keywords.

Main Results:

• Research activity in AI for dysphagia shows a consistent upward trend.
• The USA leads in publications, with Sejdic Ervin and the University of Pittsburgh as top author and institution.
• Key terms include "dysphagia," "machine learning (ML)," and "deep learning (DL)."

Conclusions:

• AI is significantly impacting dysphagia research and clinical practice.
• The analysis highlights current research hotspots and emerging trends like ML and DL.
• Future research should address interdisciplinary integration and ethical considerations in AI for dysphagia.