Artificial Intelligence in Health Care

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.

In this course you will learn

Over the course of six weeks, you’ll develop a holistic understanding of AI’s growing role in health care through an immersive online experience that draws on real-world case studies. You’ll explore how AI strategies have already been successfully deployed within the sector, and learn to ask the right questions when evaluating an AI technique for potential use within your own context.

You’ll gain an overview of the technology before delving into its practical adoption challenges, with regards to both hospital processes and resource management. Guided by MIT faculty and health care experts, you’ll examine the use of AI in diagnosis, patient monitoring and care, and explore how it can be applied to enhance health care data management. You’ll also learn to apply an integrated approach to hospital management and optimization, and develop a framework to assess the viability of using AI within your health care context.