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  • Review Article   
  • Current Trends Gynecol Oncol : 8 , Vol 8(4)
  • DOI: 10.4172/ctgo.1000162

Navigating the Past, Present and Future of Artificial Intelligence in Gynecologic Imaging

Jacqueline Chesang*
Department of Oncology, Columbia University College of Physicians and Surgeons, USA
*Corresponding Author : Jacqueline Chesang, Department of Oncology, Columbia University College of Physicians and Surgeons, USA, Email: Chesang_j@gmail.com

Received Date: Aug 01, 2023 / Published Date: Aug 30, 2023

Abstract

A background of clinically relevant AI concepts and computer vision methods are presented in the context of gynecologic cancer imaging in a systematic review on the use of artificial intelligence in gynecologic imaging. Also included are a discussion of the state of the art, future directions, and background.

• Earlier work in space consolidating artificial intelligence, Radiology, and Gynecologic Oncology is given, giving an extensive asset to future examinations.

• The difficulties to clinical practice incorporation for computer-based intelligence for the investigations surveyed here are examined.

Citation: Chesang J (2023) Navigating the Past, Present and Future of Artificial Intelligence in Gynecologic Imaging. Current Trends Gynecol Oncol, 8: 162. Doi: 10.4172/ctgo.1000162

Copyright: © 2023 Chesang J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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