Advanced Principles & Topics in AI & Machine Learning in Healthcare
MGH Institute of Health Professions
In this course, you will dive deeper into advanced theories, designs, and real-world healthcare applications of Artificial Intelligence (AI) and Machine Learning (ML). This part of the course focuses on more sophisticated machine learning techniques, the implementation of AI systems, and discussions on the future of AI in healthcare. Engage in current debates, interactive exercises, and review cutting-edge research to understand how AI is transforming the future of healthcare.
About this Course
In Advanced Principles & Topics in AI & ML in Healthcare, you will dive deeper into advanced theories, designs, and real-world healthcare applications of AI and ML. This part of the course focuses on more sophisticated machine learning techniques, the implementation of AI systems, and discussions on the future of AI in healthcare. Engage in current debates, interactive exercises, and review cutting-edge research to understand how AI is transforming the future of healthcare. Apply your deeper learning to cases and scenarios in healthcare environments. The course is comprised of 4 modules that you should complete in order, as each subsequent module builds on the previous one. Module 1: Advanced Machine Learning Techniques Module 2: Implementation and Operation of AI Systems Module 3: Evaluating Machine Learning Models Module 4: Special Topics in AI in Healthcare
What You'll Learn
- Explore advanced machine learning techniques and their applications in healthcare.
- Understand how to implement and operate AI systems in real-world healthcare settings.
- Discuss the future trends, challenges, and opportunities of AI in the healthcare industry.
- Analyze a selected topic in AI to explore within a healthcare setting.
Prerequisites
- DA-801: Introduction to AI & Machine Learning in Healthcare