To systematically analyze the publication landscape regarding the application of artificial intelligence in gastrointestinal surgery using bibliometric methods.
Key Findings:
AI technology is enhancing diagnostic accuracy in gastrointestinal endoscopic procedures, leading to better patient outcomes.
Robotic surgery systems like da Vinci are utilizing AI for improved surgical precision, reducing complications.
There is a growing body of literature on AI applications in gastrointestinal surgery, but it remains scattered, indicating a need for consolidation.
Interpretation:
The integration of AI in gastrointestinal surgery presents significant advancements in diagnosis and surgical methodologies, although challenges in preoperative diagnostics and personalized strategies persist, highlighting the need for further research.
Limitations:
The study is limited to English literature and excludes non-research publications, which may overlook valuable insights.
Potential biases in data collection and analysis due to the subjective nature of bibliometric methods should be acknowledged.
Conclusion:
The study highlights the need for comprehensive bibliometric analysis to understand the evolving landscape of AI in gastrointestinal surgery and to identify future research directions, particularly in addressing the identified challenges.
