ARTIFICIAL INTELLIGENCE IN HEALTH CARE

ONLINE SHORT COURSE

Nearly every industry is looking to leverage the power of AI, and health care is no exception. Understand the applications, opportunities, and transformative potential of AI in your health care context.

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6 weeks, excluding
orientation

6-8 hours per week,
entirely online

Weekly modules,
flexible learning

Earn a digital
MIT Sloan certificate

ON COMPLETION OF THIS PROGRAM, YOU'LL WALK AWAY WITH:

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

School of Engineering Distinguished Professor for AI and Health; AI Faculty Lead, Jameel Clinic

Barzilay is a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT). She is an AI faculty lead for Jameel Clinic, an MIT center for Machine Learning in Health. Her research interests are in machine learning models for molecular modeling with applications to drug discovery and clinical AI. She also works in natural language processing. 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.

MIT FACULTY

Dimitris Bertsimas

Professor of Management, Boeing Leaders for Global Operations and Associate Dean for the Master of Business Analytics, MIT

Tommi Jaakkola

Thomas Siebel Professor of Electrical Engineering and Computer Science, and the Institute for Data, Systems, and Society, MIT

Dina Katabi

Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT, and the leader of NETMIT research group at CSAIL

David Sontag

Associate Professor of Electrical Engineering and Computer Science, MIT

Collin Stultz

Professor of Electrical Engineering and Computer Science, Institute for Medical Engineering and Science at MIT

INDUSTRY EXPERTS

Kevin Hughes

MD, Co-Director at Avon Comprehensive Breast Evaluation Center, and Medical Director at Bermuda Cancer Genetics and Risk Assessment Clinic

Constance Lehman

MD and Professor of Radiology,
Harvard Medical School

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, and benefit from the opportunity to:

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

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

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