Artificial Intelligence (AI) in Healthcare, Plain & Simple

Artificial Intelligence is transforming healthcare, yet many healthcare professionals struggle to understand what AI really is, how it evolved, and what it may mean for the future of healthcare.This course is designed to help you build a practical foundation in Artificial Intelligence so you can better understand today's technologies—and evaluate the innovations that will emerge tomorrow.Using plain language and real-world examples, I explain how AI evolved from early rule-based systems to machine learning, Generative AI, ChatGPT, and emerging Agentic AI technologies. Along the way, you'll learn how machines learn from data, why AI behaves differently from traditional computer systems, and where both the strengths and limitations of AI originate.No technical background or programming experience is required. I assume no prior knowledge and focus on helping you understand concepts rather than algorithms or coding.While the course explores current healthcare applications, its primary goal is to help you develop a framework for thinking about AI. Technology will continue to evolve rapidly, but a solid understanding of the underlying principles will help you evaluate new tools, assess opportunities and risks, and make more informed decisions throughout your career.In this course, you will learn:    • How Artificial Intelligence evolved from traditional rule-based systems to modern AI    • The differences between traditional computing and AI systems    • The fundamentals of machine learning and why data matters    • How Generative AI, ChatGPT, and Agentic AI fit into the broader AI landscape    • Common misconceptions, limitations, and risks associated with AI    • Why AI systems can produce inaccurate or misleading results    • Current and emerging healthcare applications of AI    • The opportunities and challenges AI presents for healthcare organ