Basics a radiologist should know about AI
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…
Month: July 2024
Radiologists without AI knowledge
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…
EU-CE marking
CE Marking – (Conformité Européenne) It is a certification mark that indicates conformity with health, safety, and environmental protection standards for products sold within the…
Radiologists will not be replaced by the AI
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…
FDA marking
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…
Radiologist pathways in AI
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…
Hospital to consider implementing radiology solutions
Implementing an Artificial Intelligence (AI) solution in a hospital’s radiology department is an essential strategic move for modern healthcare settings. The application of AI can…
What clinicians should know about AI in radiology?
Clinicians should know that artificial intelligence (AI) in radiology is an evolving field with significant promise, but also with certain limitations and ethical considerations. AI…
AI for Radiographers
The integration of Artificial Intelligence (AI) into the field of radiology has significant implications for radiographers and other professionals in the medical imaging arena. Understanding…
AI for Radiologists
The role of artificial intelligence (AI) in radiology is increasingly important as advancements in machine learning algorithms and computational power continue to develop. While it…