Artificial Intelligence (AI) in Surgical Planning
*Corresponding Author:Received Date: Sep 02, 2024 / Published Date: Sep 30, 2024
Citation: Zinaida K (2024) Artificial Intelligence (AI) in Surgical Planning. Cancer Surg, 9: 124DOI: 10.4172/2573-542X.1000124
Copyright: 漏 2024 Zinaida K. 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.
Abstract
Artificial Intelligence (AI) is revolutionizing the field of surgery by enhancing the precision, efficiency, and outcomes of surgical planning. AI technologies, particularly machine learning (ML) and deep learning (DL), are increasingly being integrated into preoperative and intraoperative phases of surgical planning, aiding in diagnosis, risk stratification, and surgical decision-making. This article explores the applications of AI in surgical planning, its potential benefits, challenges, and future perspectives. We discuss how AI can improve preoperative imaging analysis, assist in personalized surgical strategies, and optimize workflow in surgical settings, ultimately contributing to better patient outcomes.
