# Global research trends on artificial intelligence in psychological interventions for stroke survivors: a bibliometric and visualized analysis (2000–2024)

## TL;DR

This study maps global research trends on AI in psychological interventions for stroke survivors from 2000 to 2024, showing a shift toward integrated approaches.

## Contribution

The paper provides a comprehensive bibliometric and visual analysis of AI-assisted psychological interventions for stroke survivors over 24 years.

## Key findings

- Annual publication output peaked in 2022 with 72 articles, showing a steady increase over the years.
- Research trends shifted toward integrated strategies, focusing on ischemic stroke, anxiety, and cognitive impairment.
- The United States led in research output and centrality, with McGill University as the top institution.

## Abstract

This study aimed to conduct a bibliometric analysis of research literature on AI-assisted psychological interventions for stroke survivors published from 2000 to 2024, using CiteSpace and VOSviewer to examine research collaboration networks, knowledge structures, and developmental trends.

Literature data was sourced from the Web of Science Core Collection database (WoSCC). A total of 450 relevant articles, published between 1 January 2000 and 31 October 2024, were included. CiteSpace and VOSviewer were employed to analyze the literature from dimensions including authorship, country of origin, institutions, journals, references, and keywords.

Annual publication output has steadily increased, reaching a peak in 2022 (72 articles), followed by 68 articles in 2023 and 69 articles in 2024. Calabro Rocco Salvatore emerged as the most productive author (9 publications). The United States led in research output (87 articles) and centrality (0.51), with McGill University being the leading institution (10 articles). “Journal of NeuroEngineering and Rehabilitation” was the most productive journal (24 articles), while “Stroke” was the most co-cited journal (347 times). Recent research trends focused on ischemic stroke (strength = 3.09), anxiety (strength = 2.72), cognitive impairment (strength = 2.67), and meta-analysis (strength = 2.58), reflecting a shift toward integrated assessment and intervention strategies.

This bibliometric analysis reveals a significant evolution in research on AI-assisted psychological interventions for stroke survivors, shifting from single technology applications to integrated services encompassing assessment, monitoring and intervention. Future research should continue to strengthen empirical studies while enhancing interdisciplinary collaboration to improve the quality of psychological healthcare services.