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The Intraoperative Role of Artificial Intelligence Within General Surgery: A Systematic Review
1College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, ARE.
Cureus
|December 5, 2024
Summary
Artificial intelligence (AI) in general surgery shows promise for intraoperative guidance and surgical training. Key challenges include limited data, ethical concerns, and validation issues hindering AI integration.
Area of Science:
- Medical Technology
- Surgical Innovation
- Artificial Intelligence Applications
Background:
- Artificial intelligence (AI) is increasingly utilized across various industries, including medicine.
- Applications in cancer screening and radiology diagnostics are established.
- The intraoperative role of AI in general surgery remains an evolving area.
Purpose of the Study:
- To review current literature on the intraoperative use of AI in general surgery.
- To identify the latest developments, challenges, and future trajectory of AI in this field.
- To synthesize findings on AI applications for guidance, training, and perceptions.
Main Methods:
- A comprehensive literature search was conducted on PubMed.
- Search terms included "artificial intelligence" and "general surgery".
- Inclusion criteria focused on English-language studies involving human subjects, yielding 13 relevant articles.
Main Results:
- Five articles focused on intraoperative guidance, four on surgical education and training, and four on user perceptions.
- Key themes identified were AI-driven autonomous surgical actions and enhanced training.
- Identified limitations include restricted data, ethical considerations, and lack of validation tools.
Conclusions:
- The integration of AI into general surgery presents significant potential.
- Overcoming challenges related to data, ethics, and validation is crucial for progress.
- AI offers promising avenues for improving surgical procedures and training.
