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.
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:
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
Module 2
Module 3
Module 4
Module 5
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.
Want to know more?
Enter your information to access the course brochure and learn more about this course from GetSmarter.