Research status, hotspots and perspectives of artificial intelligence applied to pain management: a bibliometric and visual analysis - Summary - MDSpire
Advertisement
Research status, hotspots and perspectives of artificial intelligence applied to pain management: a bibliometric and visual analysis
To analyze the research trends and hotspots regarding the application of artificial intelligence (AI) in pain management through bibliometric methods, highlighting their significance for future research.
Key Findings:
AI in pain management has evolved from theoretical exploration to clinical integration over the past 30 years, with specific advancements in predictive analytics and patient monitoring.
Interdisciplinary research hotspots were identified through bibliometric coupling of 46,170 co-cited references, indicating key areas for future exploration.
Collaboration patterns among institutions, authors, and journals were quantified, providing insights for strategic alliances and potential funding opportunities.
Interpretation:
The integration of AI technologies in pain management shows significant promise, with evolving research trends indicating a shift towards practical applications in clinical settings, which could enhance patient outcomes.
Limitations:
Lack of comprehensive bibliometric analyses specifically focused on AI in pain management prior to this study, which may limit comparative insights.
Potential biases in literature selection and data interpretation inherent in bibliometric methods, which could affect the reliability of the findings.
Conclusion:
This study provides novel insights into the application of AI in pain management, highlighting the need for continued interdisciplinary collaboration and research to translate findings into clinical practice.
