Title: Introduction to AI & Machine Learning in Healthcare

Location: US

Company: MGH Institute of Health Professions

About this course:
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

By the end of this course, you will be able to:

Define AI and ML terminology and concepts while also understanding their transformative impact on healthcare.

Explore the legal, ethical, and privacy implications of implementing AI in healthcare.

Describe the fundamentals of healthcare data and its significance in AI applications.

Describe fundamental machine learning algorithms and their applications 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.

Duration: 10 weeks

Curriculum:
- 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
- Module 4: Basic Machine Learning Algorithms

- Module 5: Case Studies of AI