机器学习模型安全部署

A framework and methodology for evaluating and ensuring the reliability, safety, and performance of machine learning models before they are deployed in real-world environments, particularly in high-stakes fields like medical imaging. / 一种评估和确保机器学习模型在部署到现实世界环境（特别是医疗成像等高风险领域）之前可靠性和安全性的框架和方法论。

Knowledge type

实际应用

First proposed or discovered

Proposer

Turkey Farm member

Creator

农场主

Last updated

2026-11-09 21:06:46