Origins of AI and misconceptions of the purpose of AI in imaging

• Defining and demystifying AI terms, Deep Learning, Machine Learning, Features, Classifiers
• AI algorithms and how they interpret images
• Appropriate use of AI in various clinical settings (what is AI good at and what is it not good at)
• Methods of integrating AI into enterprise imaging workflows
• AI training methods and pitfalls
• Ethical considerations of AI, bias, and misuse