Artificial Intelligence in Health Care (self-paced online)

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In Artificial Intelligence in Health Care, the MIT Sloan School of Management and the MIT J-Clinic aim to equip health care leaders with a grounded understanding of the potential for AI innovations in the health care industry. The course explores types of AI technology, its applications, limitations, and industry opportunities.

This program is delivered in collaboration with GetSmarter. Please register on the GetSmarter website.

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Artificial Intelligence in Health Care (self-paced online)
Certificate Track: Management and Leadership
Location: Online
Tuition: $2,800
Program Days (for ACE Credit) 2

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The potential of artificial intelligence (AI) to transform health care — through the work of both organizational leaders and medical professionals — is increasingly evident as more real-world clinical applications emerge.


As patient data sets become larger, manual analysis is becoming less feasible. AI has the power to efficiently process data far beyond our own capacity, and has already enabled innovation in areas including chemotherapy regimens, patient care, breast cancer risk, and even ICU death prediction.


With this program, the MIT Sloan School of Management and the MIT J-Clinic aims to equip health care leaders with a grounded understanding of the potential for AI innovations in the health care industry. The Artificial Intelligence in Health Care online short course explores types of AI technology, its applications, limitations, and industry opportunities. Techniques like natural language processing, data analytics, and machine learning will be investigated across contexts such as disease diagnosis and hospital management.

Registration for this program is done through GetSmarter.

FAST FACTS


6 weeks (excluding orientation)

Entirely online

Self-paced learning

6-8 hours/week*

*The recommended weekly time commitment for core content is 4-5 hours, taking into account the busy lifestyles of working professionals, with an additional 2-3 hours recommended for non-compulsory weekly extension activities, should you have the time. Each module is released weekly, allowing a flexible but structured approach to learning. You’ll be supported as you engage in individual activities and group discussions, ensuring you feel confident to submit your best work at each weekly deadline.

"Health care is mostly about predicting what the patient currently has and what treatment will work. AI provides you with a toolbox of algorithms that can remove the guesswork." – Regina Barzilay, Delta Electronics Professor of Electrical Engineering and Computer Science