This introductory course helps make sense of artificial intelligence and machine learning in healthcare. It explains the key concepts, vocabulary and types of problems AI can help address, while also clarifying what AI can and cannot do.
Through real healthcare examples, including applications in medical imaging and clinical data, you will explore how AI is already being used to support care, research and service improvement.
Designed for healthcare staff, researchers and technical professionals with no prior AI knowledge required, the course provides a clear starting point for understanding AI in practice.
You will develop a broader view of data requirements, model limitations, ethical and safety concerns, and the fairness principles that can help guide responsible use of AI technologies in health.
