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.
6 weeks, excluding
orientation
6–8 hours per week,
entirely online
Weekly modules,
flexible learning
Earn a digital
MIT Sloan certificate
Change is in the air. Take 15% off course fees until April 30.
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*Offer applies to any start date for participating courses where registration is currently open as long as you register and pay by April 30, 2025, at 11:59 p.m. Eastern Time (U.S.). To redeem the offer for executive education courses, register on getsmarter.com, using code REFRESH2025 at checkout. The discount cannot be combined with any other offers for executive education courses.
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.
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.
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.
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.