ARTIFICIAL INTELLIGENCE IN HEALTH CARE

Understand the applications, opportunities, and transformative potential of AI in your health care context

Duration

6 weeks, excluding
orientation

Effort

6–8 hours per week,
entirely online

Learning Format

Weekly modules,
flexible learning

Other Detail

Earn an MIT Sloan
certificate

YOU’LL WALK AWAY WITH:

1

A robust AI decision framework, helping you understand the considerations associated with implementing AI in health care, and equipping you to ask the right questions about AI’s suitability to your context.

2

An awareness of how AI-powered solutions can transform health care, with opportunities including disease diagnosis and monitoring, clinical workflow augmentation, and hospital optimization.

3

Insights into the various AI-based techniques impacting and improving upon traditional health care structures, including natural language processing, data analytics, and machine learning.

COURSE CURRICULUM

Over the duration of this online program, you’ll work your way through the following modules:

Module 1:
AI and Machine Learning — Applications and Foundations

Become familiar with supervised machine learning and the types of problems it may be applied to.

Module 2:
Using AI for Disease Diagnosis and Patient Monitoring

Examine real-world applications of AI for diagnosis and patient monitoring.

Module 3:
Natural Language Processing and Data Analytics in Health Care

Use AI to extract value-adding outcomes from medical literature and pathology reports.

Module 4:
Interpretability in Machine Learning — Benefits and Challenges

Appreciate the importance and benefits of interpretable algorithms.

Module 5:
Patient Risk Stratification and Augmenting Clinical Workflows

Discover how AI can be applied to health care interventions and patient care.

Module 6:
Taking An Integrated Approach to Hospital Management and Optimization

Investigate a holistic approach to optimizing health care processes.

YOUR FACULTY DIRECTOR

Regina Barzilay

Delta Electronics Professor of Electrical Engineering and Computer Science

Barzilay is a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT). Her research interests are in natural language processing, applications of deep learning to chemistry, and oncology. She is a recipient of various awards and received her PhD in computer science from Columbia University. She also spent a year as a postdoc at Cornell University.

AN ONLINE EDUCATION THAT SETS YOU APART

This MIT Sloan online program is delivered in collaboration with online education provider GetSmarter. Join a growing community of global professionals who have already benefited from the opportunity to:

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Develop new competencies and earn valuable recognition from an international selection of universities, entirely online and on your own time frame

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Enjoy a personalized, people-mediated online learning experience that supports you every step of the way

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Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones

VIEW COURSE BROCHURE

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