Artificial Intelligence and Gynecologic Surgery

Area of Science:

• Medicine
• Computer Science
• Surgery

Background:

• Artificial intelligence (AI) offers transformative potential in healthcare, particularly in obstetrics and gynecology.
• AI excels at analyzing large datasets from areas like maternal-fetal medicine and reproductive endocrinology.
• AI is increasingly utilized in surgery, especially robotic-assisted surgery, to interpret complex data.

Purpose of the Study:

• To review the current literature on the application of artificial intelligence in gynecologic surgery.
• To highlight AI's role in improving surgical outcomes through preoperative planning, intraoperative guidance, and training.
• To identify limitations and future directions for AI in gynecologic surgery.

Main Methods:

• This narrative review summarizes existing research on AI in gynecologic surgery.
• Literature search focused on AI applications in diagnostics, outcome prediction, and surgical enhancement.
• Analysis of AI's impact on preoperative planning, intraoperative guidance, and surgical training.

Main Results:

• AI demonstrates utility in diagnostics and outcome prediction within obstetrics and gynecology.
• AI applications in gynecologic surgery aim to enhance preoperative planning, intraoperative guidance, and training.
• Current studies often face limitations such as small datasets and lack of data standardization.

Conclusions:

• Artificial intelligence holds significant promise for advancing gynecologic surgery.
• Addressing limitations like data standardization and ensuring explainability are crucial for patient safety.
• Continued research and development are essential for realizing AI's full potential in the field.