Artificial Intelligence & Machine Learning in Healthcare

MGH Institute of Health Professions via edX MicroMasters

Overview

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In this two-course MicroMasters program, you will learn how Artificial Intelligence (AI) and Machine Learning (ML) can be used to improve healthcare.

In the first self-paced course, you’ll build a solid foundation in AI and ML fundamentals, learning how these technologies can enhance both clinical and operational decision-making. You’ll also learn key AI and ML principles, grounded in ethical and privacy concerns and real-world healthcare scenarios.

In the second self-paced course, you’ll dive deeper into AI and ML by exploring advanced theories, designs, and real-world applications. Exploring the implementation of AI systems in healthcare, you’ll consider current debates in the field and review cutting-edge research to understand how AI is transforming the future of healthcare.

By the end of this MicroMasters program, you’ll be equipped to understand the implementation of AI and ML in healthcare settings and apply these tools in ethical ways to improve healthcare operations and outcomes.

Syllabus

Courses under this program:
Course 1: Introduction to AI & Machine Learning in Healthcare

In this introductory course, you'll explore how Artificial Intelligence (AI) and Machine Learning (ML) are transforming healthcare. You'll build a solid foundation in AI and ML fundamentals, learning how these technologies can enhance both clinical and operational decision-making. The course will introduce you to key AI and ML principles such as using data to train, validate, and test machine learning models. Additionally, you’ll delve into important ethical and privacy concerns, applying these concepts to real-world healthcare scenarios.

Course 2: Advanced Principles & Topics in AI & Machine Learning in Healthcare

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.

Courses

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5 weeks, 2-4 hours a week, 2-4 hours a week
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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
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4 weeks, 2-4 hours a week, 2-4 hours a week
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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