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Artificial Intelligence in Telemedicine: A Global Perspective Visualization Analysis.

Xu Zhang¹, Li Ma², Di Sun³

¹School of Nursing, Peking University, Beijing, China.

Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association

|March 4, 2024

Summary

This summary is machine-generated.

Artificial intelligence (AI) in telemedicine is rapidly growing, with annual publication increases of 42.1%. Key research areas include machine learning, digital health, and emerging trends like ChatGPT and mobile health.

Keywords:

artificial intelligence bibliometric hotspots telemedicine visualization

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Area of Science:

Bibliometrics and scientometrics
Artificial Intelligence
Telemedicine

Background:

Academic research on artificial intelligence (AI) in telemedicine has surged.
A bibliometric and visualization analysis provides a scientific overview of this growing field.

Purpose of the Study:

To systematically review the development of AI in telemedicine.
To identify current research hotspots and future research directions in AI and telemedicine.

Main Methods:

Bibliometric and visualization analysis of 2,860 articles from the Web of Science Core Collection (2010-2023).
Utilized Bibliometrix R package, VOSviewer, and CiteSpace for data analysis.
Examined publication trends, country contributions, author impact, journal influence, keywords, and interdisciplinary knowledge flow.

Main Results:

Annual publication growth rate of approximately 42.1% for AI in telemedicine.
United States and China lead in publications (37.1% combined).
Top keywords include AI, telemedicine, machine learning, digital health, and deep learning; ChatGPT emerged in 2023. Mobile health shows future research potential.

Conclusions:

AI in telemedicine is a rapidly expanding research area with significant global contributions.
Machine learning and digital health are core components, with AI advancements like ChatGPT and mobile health indicating future trajectories.
This study provides a comprehensive overview to guide future innovation in AI-driven telemedicine.