Introduction to AI & Machine Learning in Healthcare

This course introduces you to how Artificial Intelligence (AI) and Machine Learning (ML) can be used to improve healthcare. This is the first course of a two course program. In this self-paced course, you'll be introduced to the fundamentals of AI and ML. The concepts, theories, and principles are tied to real-world healthcare applications and examples. Learn how these technologies enhance clinical and operational decision-making, while exploring the core principles of artificial intelligence and machine learning. Engage in current debates and discussions to understand the latest AI trends in healthcare. Stay updated with cutting-edge research as you discover how AI is transforming the future of healthcare. This course is suitable for anyone who wants to gain a solid foundation in AI and ML and its important implications within healthcare settings. The course is comprised of 5 modules that you should complete in order, as each subsequent module builds on the previous one. Module 1: Overview of AI and its Impact on Healthcare Module 2: AI Legal and Ethical Considerations including Privacy Concerns Module 3: Basics of Data & Healthcare Module 4: Basic Machine Learning Algorithms Module 5: Case Studies of AI & ML in Healthcare

• Define AI and ML terminology and concepts while also understanding their transformative impact on healthcare.
• Explore the legal, ethical, and privacy implications of implementing AI in healthcare.
• Describe the fundamentals of healthcare data and its significance in AI applications.
• Describe fundamental machine learning algorithms and their applications in healthcare.