A Scientometric Analysis of Artificial Intelligence in Telerehabilitation: Research Hotspots and Trends Based on Citespace 1847

Thursday, October 30, 2025

9:30 AM - 9:45 AM

Location: Station 3

Presenting Author(s)

Rui Liu (she/her/hers)

Undergraduate student
School of Sports Medicine and Rehabilitation, Beijing Sport University

Non-presenting Author(s)

BR

Bing Ruan, WPCPT-certified physical therapist

PhD Candidate in Sports Rehabilitation and WPCPT-certified Physical Therapist
School of Sports Medicine and Rehabilitation, Beijing Sport University

This session presents a scientometric analysis of artificial intelligence (AI) applications in telerehabilitation from 2014 to 2024 using CiteSpace. Attendees will gain insights into research hotspots, emerging trends, and collaboration networks shaping this evolving field. Key findings highlight the rapid development of AI-driven telerehabilitation, particularly in stroke recovery, with technologies such as virtual reality, deep learning, and wearable sensors at the forefront. The session will also discuss ongoing challenges related to standardization, ethical concerns, and accessibility in low-resource settings. Participants will leave with a clearer understanding of the future directions of AI-integrated rehabilitation.

Learning Objectives:

Upon completion, participants will be able to evaluate the challenges and opportunities in implementing AI-driven telerehabilitation in low-resource settings, and propose strategies to enhance accessibility, patient adherence, and the long-term effectiveness of these technologies.
Upon completion, participants will be able to demonstrate the use of bibliometric methods, such as CiteSpace, to analyze the intellectual structure of AI in telerehabilitation, focusing on research hotspots and collaborative networks.
Upon completion, participants will be able to identify and explain the key advancements and research trends in the application of artificial intelligence (AI) in telerehabilitation, with a focus on virtual rehabilitation, wearable sensors, and real-time monitoring.