AI in Healthcare - Study Materials

• Intro-to-Healthcare-Study-Guide (PDF)
• # Overview of Healthcare Care Systems and Key Challenges They Face
• # Characteristics of Physician Practices
• # Basic Operations and Characteristics of Hospitals
• # Intermediaries and their Goals
• # Health Care Product Regulation: Overview
• # Ethics
• certificate (PDF)
• Intro-to-Clinical-Data-Study-Guide (PDF)
• # Welcome
• # The Healthcare system
• # Healthcare happens over time
• # Creating features to analyze
• # Unstructured Data
• # Electronic phenotyping
• # Introduction to Research Ethics and AI
• Fundamentals-of-ML-Study-Guide (PDF)
• # Why machine learning in healthcare?
• # Machine Learning Term, Definitions, and Jargon Part 1
• # Deep learning and neural networks
• # Critical evaluation of models and strategies for healthcare applications
• # Challenges and strategies for clinical machine learning
• # Designing and evaluating clinical machine learning applications
• # Foundation models (Optional Content)
• EAA_StudyGuide-Full (PDF)
• # Current AI Models in Healthcare
• # A Framework for Evaluation
• # AI Deployment
• # Bias in AI Solutions
• # The Regulatory Environmeny for AI in Healthcare
• # AI and Medicine (Optional Content)
• PHASE_1 (PDF)
• PHASE_2 (PDF)
• PHASE_3 (PDF)
• PHASE_4 (PDF)
• # AI in Healthcare Specialization
• transcript (PDF)