Foundational Concepts: Basics of Machine Learning Understanding the fundamental concepts such as supervised vs. unsupervised learning, training data, testing data, and evaluation metrics can provide
If a radiologist chooses not to learn about AI in radiology, the implications could vary based on several factors such as their career stage, the
CE Marking – (Conformité Européenne) It is a certification mark that indicates conformity with health, safety, and environmental protection standards for products sold within the
STRONG reasons why radiologists can NOT be replaced While artificial intelligence (AI) in radiology has advanced significantly, presenting capabilities for image analysis that can sometimes
Food and Drug Administration (FDA) The US Food and Drug Administration (FDA) regulates AI-based Software as a Medical Device (SaMD) under the Federal Food, Drug, and Cosmetic Act
Radiologists can engage with Artificial Intelligence (AI) in various capacities within their field. These pathways not only enhance the delivery of healthcare but also broaden
