Foundations of AI in Healthcare

Description

AI in Healthcare: From Fundamentals to Application This course, "AI in Healthcare," will introduce you to the core principles and practical applications of Artificial Intelligence in medicine. In this course, you will learn: AI Fundamentals: Understand key concepts of AI, machine learning, and deep learning. Discover the importance of data in AI models and why it's crucial for today's medical practice. Generative AI and LLMs: Get acquainted with Large Language Models (LLMs), their various platforms, and how to use prompts effectively. Explore real-world use cases of LLMs in healthcare. Clinical Applications: Dive deep into AI's role in diagnostics and imaging (radiology, pathology), predictive analytics (forecasting patient outcomes), and its impact on surgery and telemedicine. Workflow Integration: Learn how to seamlessly integrate AI tools into existing clinical workflows, understanding data requirements and ethical considerations. Ethical & Safety Considerations: Address critical topics such as bias in AI, regulatory frameworks, and the importance of transparency and accountability in AI systems. Tool Evaluation: Gain a practical framework for selecting appropriate AI tools, assessing performance, and calculating Return on Investment (ROI). Future of AI: Explore emerging trends in medical AI and the essential skills healthcare professionals will need for the future. The goal of this course is to empower you to responsibly and effectively leverage AI to improve diagnosis, treatment, and patient care.