UNIVERSITIESMIT SLOAN SCHOOL OF MANAGEMENT

Artificial Intelligence in Health Care

Course starts 29 July 2020

Course information

Registration Closes:
21 July 2020
Course Starts:
29 July 2020
Length:
6 weeks, excluding orientation
Effort:
6–8 hours per week, entirely online
Price:
USD $2,800
Payment Options
University:
MIT Sloan School of Management
Language:
English

Introduction

One of the key challenges the medical industry faces in advancing patient care is improving prediction. Enhancing diagnosis, targeting treatments to individual patients, and understanding disease progression are all matters of prediction, an area where artificial intelligence (AI) excels.1

Improving diagnosis, targeting treatments to individual patients, and understanding disease progression are all prediction problems. And prediction is where AI excels.

Discover the impact AI innovations can have on traditional health care systems and decision-making approaches with this online short course from the MIT Sloan School of Management and the MIT J-Clinic.

Through industry case studies, you’ll better understand AI’s applications and limitations, examine the challenges AI can help overcome, and explore how it’s already been successfully deployed in the sector.

You’ll gain insight and knowledge from MIT, an institution renowned for developing machine-learning methods that have already enhanced health care, and from Regina Barzilay, your faculty director, who is globally recognized for her work in AI and breast cancer detection.

1MIT Technology Review (Apr, 2019).

Download course prospectus

What will set you apart

Earn a certificate of completion from the MIT Sloan School of Management in this online program and be able to:

  • Use an AI decision framework to evaluate the suitability of an AI technology within your own context

  • Develop your knowledge of AI opportunities across a range of contexts, from hospital management, disease diagnosis, and business decisions in a clinical setting

  • Gain an overview of AI fundamentals, specifically through the lens of its applicability in health care

  • Understand AI’s practical implementation challenges, and its business and economic considerations

  • Realize the potential of natural language processing, data analytics, and machine learning within health care

Course curriculum

Develop a grounded understanding of how the use of AI is transforming the health care industry as you follow your learning path through the weekly modules of this online program:

  • Orientation module Welcome to your Online Campus
  • Module 1 AI and Machine Learning — Applications and Foundations
  • Module 2 Using AI for Disease Diagnosis and Patient Monitoring
  • Module 3 Natural Language Processing and Data Analytics in Health Care
  • Module 4 Interpretability in Machine Learning — Benefits and Challenges
  • Module 5 Patient Risk Stratification and Augmenting Clinical Workflows
  • Module 6 Taking an Integrated Approach to Hospital Management and Optimization

Uncover opportunities for AI in health care

This MIT Sloan online short course is delivered in collaboration with GetSmarter. Learn from industry thought leaders as you build an AI decision framework for evaluating the technology’s suitability in a health care context.


Your Faculty Director

MIT Sloan faculty and industry experts will share their experience and in-depth subject knowledge with you throughout the course.

Regina Barzilay

Regina Barzilay

Delta Electronics Professor of Electrical Engineering and Computer Science

Barzilay is a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology. Her research interests are in natural language processing, applications of deep learning to chemistry, and oncology. 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

Dimitris Bertsimas

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

Tommi Jaakkola

Tommi Jaakkola

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

Dina Katabi

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

David Sontag

Associate Professor of Electrical Engineering and Computer Science, MIT

Collin Stultz

Collin Stultz

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

 

Industry Experts

 
Constance Lehman

Constance Lehman

MD and Professor of Radiology, Harvard Medical School

Kevin Hughes

Kevin Hughes

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

Earn a certificate of completion from MIT Sloan

Set yourself apart and get recognized for your knowledge when you earn an official certificate of completion from the MIT Sloan School of Management, one of the world's leading business schools.2

This program also counts towards an MIT Sloan Executive Certificate, which you can earn upon completion of four programs where at least three of the four come from your chosen certificate track and at least one is completed in-person. Find full details here.

Your certificate will be issued in your legal name and couriered to you, at no additional cost, upon successful completion of the program, as per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of the University.

2 QS Top Universities (Feb, 2019).

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When do I start?

Our next available short course starts 29 July 2020.

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Still have a question? These may help

  • WILL I HAVE THE TIME?

    GetSmarter's learning model is designed to help you, as a working professional, improve your skills without compromising on work and family responsibilities. The course work is broken up into weekly, manageable bite-sized modules, with incremental deadlines, designed to help you pace yourself over the duration of the course and allow you the legroom to work when it suits you best.

    At the beginning of each week you'll be presented with all the lectures, notes and assignments necessary for completion. You also have access to your Success Advisor who will help you set goals and track key milestones, manage your time, and field any administrative requests you might have.

  • CAN MY EMPLOYER ASSIST WITH PAYMENT?

    By improving your skills and industry knowledge, you'll be having an influence on the success of your organisation.

    Why wouldn't you ask your boss to help you fund your studies if it's going to have an impact on the way you do business?

    37% of our past students receive financial assistance from their employers. You can ask for help, too. Here is a guide to show you how to receive financial assistance from your employer.

  • WHAT IS THE ONLINE CAMPUS?

    The Online Campus will be your virtual classroom for the duration of your course. Through its easy-to-use interface you'll have access to a diverse variety of course content formats, including: interactive video lectures, module notes, practice quizzes, Prezis, assignment briefs, and additional web resources.

    On the Online Campus, you'll also be able to ask questions and interact with your fellow students and Head Tutor through the Online Campus discussion forums. If you're experiencing tech issues or need advice from your personal Success Advisor, you can use the Online Campus to get in touch.