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…
Category: About AI
Posts about specific applications of AI in healthcare, such as diagnosis, treatment, and patient engagement. Articles on different types of AI, such as machine learning, natural language processing, and deep learning, and their applications in healthcare.
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…
Key Definitions
Artificial Intelligence (AI) in radiology is a rapidly evolving field that utilizes machine learning algorithms and advanced technologies to assist radiologists in interpreting medical images…
Data sources used for AI radiology
Artificial intelligence (AI) in radiology relies on various data sources to train and validate algorithms, improve diagnostic accuracy, and assist radiologists in interpreting medical images.…