期刊
AMERICAN SURGEON
卷 89, 期 1, 页码 25-30出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/00031348221101488
关键词
artificial intelligence; machine learning; deep learning; surgical complications; risk assessment; calculator
类别
This article provides an overview of the application of artificial intelligence in predicting surgical complications and demonstrates how it can be used to stratify patients preoperatively using machine learning and deep learning algorithms.
Surgical complications pose significant challenges for surgeons, patients, and health care systems as they may result in patient distress, suboptimal outcomes, and higher health care costs. Artificial intelligence (AI)-driven models have revolutionized the field of surgery by accurately identifying patients at high risk of developing surgical complications and by overcoming several limitations associated with traditional statistics-based risk calculators. This article aims to provide an overview of AI in predicting surgical complications using common machine learning and deep learning algorithms and illustrates how this can be utilized to risk stratify patients preoperatively. This can form the basis for discussions on informed consent based on individualized patient factors in the future.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据