论文标题
在医学成像中对人工智能模型的概括：基于病例的评论
Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review
论文作者
论文摘要
关于人工智能（AI）和医学成像的讨论围绕着深度学习算法的成功。随着新算法进入市场，对于执业医师来说，了解各种AI算法的陷阱很重要。这需要对如何开发算法，培训的数据类型以及将部署的设置有基本的了解。与所有新技术一样，使用AI的使用应在其旨在提供帮助的风险和利益的基本理解之前对其进行基本了解。此基于案例的审查旨在指出打算使用AI的放射科医生的特定因素。
The discussions around Artificial Intelligence (AI) and medical imaging are centered around the success of deep learning algorithms. As new algorithms enter the market, it is important for practicing radiologists to understand the pitfalls of various AI algorithms. This entails having a basic understanding of how algorithms are developed, the kind of data they are trained on, and the settings in which they will be deployed. As with all new technologies, use of AI should be preceded by a fundamental understanding of the risks and benefits to those it is intended to help. This case-based review is intended to point out specific factors practicing radiologists who intend to use AI should consider.
