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edX

Artificial Intelligence & Machine Learning in Healthcare

MGH Institute of Health Professions via edX MicroMasters

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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

Reviews

5.0 rating, based on 1 Class Central review

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  • Anonymous
    This course gave me a strong and practical understanding of how artificial intelligence and machine learning can be applied in healthcare. The content was relevant, well structured, and especially useful for learners interested in clinical medicine, health informatics, patient safety, and data-driven decision-making. The assignments and final projects helped connect theory with real healthcare applications. Overall, it was a valuable learning experience that strengthened my interest in AI in healthcare.

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