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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Artificial Intelligence and Gynecologic Surgery.

Grace M Pipes1, Andrew J Hung, Kenneth H Kim

  • 1Department of Obstetrics and Gynecology and the Department of Urology, Cedars-Sinai Medical Center, Los Angeles, California; and the American Board of Obstetrics and Gynecology, Dallas, Texas.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances gynecologic surgery by improving diagnostics and surgical outcomes. Further research is needed to address data limitations and ensure patient safety with AI applications.

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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.