AI in Healthcare: Clinical Applications and Ethical Foundations

Artificial intelligence is rapidly reshaping the healthcare landscape, offering unprecedented opportunities to improve patient care, streamline diagnostics, and accelerate drug discovery. Understanding how these technologies work and how to apply them safely is becoming an essential skill for healthcare professionals and technology enthusiasts alike. This course provides a comprehensive introduction to AI in medicine, guiding you from foundational computer science concepts to real-world clinical applications. You will gain the knowledge needed to evaluate AI tools, understand machine learning workflows in medical imaging, and navigate the complex ethical landscape of digital health. What you'll learn: - Understand the fundamental concepts of machine learning, deep learning, and generative AI within clinical settings. - Explore how Large Language Models (LLMs) and ChatGPT are utilized for medical communication and administrative efficiency. - Analyze the workflow of medical image analysis, including data preprocessing and model evaluation concepts. - Evaluate the role of AI in drug discovery, patient monitoring, and personalized treatment plans. - Address critical ethical considerations, including bias mitigation, patient data privacy, and regulatory compliance. - Learn safe prompting patterns and retrieval-augmented generation (RAG) concepts for clinical information systems. The course begins with essential terminology and the historical context of AI in medicine before moving into practical case studies, including medical imaging analysis and language model applications. You will progress through interactive text-based scenarios and written exercises designed to build your conceptual and analytical skills. This course is designed for healthcare professionals, administrators, students, and tech enthusiasts who want to understand AI's role in medicine. No prior programming or advanced technical background is required. Step into the future of medicine and explore how intelligent technologies are transforming healthcare delivery today.