Course on Evaluation and Implementation of AI Tools in Radiology

Goals:

1. Learn about the main types of Artificial Intelligence tools currently available for Radiology.
2. Understand and apply the main performance metrics for problems of classification, regression, semantic segmentation and object localization.
3. Understanding the main elements during the development of Deep Learning tools that are likely to generate biases and generalization problems.
4. Become familiar with the types of annotations and the image annotation and segmentation tools.
5. Use explainability techniques and structured frameworks in Artificial Intelligence projects in Radiology.