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Artificial intelligence in surgery: evolution, trends, and future directions.

Huiyang Li^1,2, Zhuoqi Han³, Haixiao Wu^2,4

¹Department of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China.

International Journal of Surgery (London, England)

|December 18, 2024

Summary

Artificial intelligence (AI) is revolutionizing surgery by improving precision and patient outcomes. This analysis reveals significant growth in AI in surgery research, with key contributors and evolving themes driving innovation.

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Area of Science:

Medical Informatics
Surgical Technology
Bibliometrics

Background:

Artificial intelligence (AI) is increasingly integrated into surgical practices.
AI enhances surgical precision, decision-making, and patient outcomes.
Understanding AI's research landscape in surgery is crucial for future development.

Purpose of the Study:

To conduct a bibliometric analysis of AI's impact on surgery.
To identify research trends, key contributors, and evolving themes from 1998 to 2024.
To highlight the growth and interdisciplinary nature of AI in surgical research.

Main Methods:

Bibliometric analysis of 821 articles from the Web of Science Core Collection (1998-2024).
Utilized the Bibliometrix tool for data analysis.
Examined publication trends, author and institutional impact, country contributions, and keyword frequency.

Main Results:

A significant 14.53% annual growth rate in publications, from 1 in 1998 to 328 in 2023.
Identified key contributors (e.g., HASHIMOTO DA, ITO M) and leading institutions (Harvard, Stanford) and countries (USA, China).
Core research areas include surgery, AI, classification, diagnosis, and outcomes, with a thematic shift towards advanced applications.

Conclusions:

AI integration is revolutionizing surgery, improving precision, efficiency, and patient care.
Continued interdisciplinary collaboration and innovation are essential for advancing AI in surgery.
Future research should focus on AI application enhancement, data challenges, and diverse surgical contexts.