Artificial Intelligence in Health Care

Artificial Intelligence in Health Care

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Course Dates Format Duration Time Commitment Price
Oct 6–Nov 23, 2021 Self-Paced Online 6 weeks 6-8 hours/week $2,800
Jan 26–Mar 15, 2022 Self-Paced Online 6 weeks 6-8 hrs/wk $2,800
Aug 3–Sep 20, 2022 Self-Paced Online 6 weeks 6-8 hrs/wk $2,800
See More Dates

Tracks

Management and Leadership

Certificate Credits

2.0 EEUs

Topics

- Operations

- Organizations & Leadership

- Strategy & Innovation

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.

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.

You will receive a certificate of course completion at the conclusion of this course. You may also be interested in our Executive Certificates which are designed around a central themed track and consist of several courses. Learn more.

Learn more about the GetSmarter course experience.

Learn more about GetSmarter technical requirements.

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.

 

Sample Schedule—Subject to Change

This course aims to empower leaders in both business and medical roles with the knowledge to understand the transformative role of artificial intelligence (AI) in health care. Key learning areas include the basics of machine learning, neural networks, and deep learning. Participants can expect to immediately and directly apply the knowledge gained in this course in their own roles within the health care sector. Professionals working for health care providers will learn to identify the types of problems that AI techniques can help solve.

GetSmarter™, a brand of 2U, Inc., partners with the world's leading universities to select, design and deliver premium online short courses with a data-driven focus on learning gain.

Technology meets academic rigor in our people-mediated model which enables lifelong learners across the globe to obtain industry-relevant skills that are certified by the world’s most reputable academic institutions.

Course Dates Format Duration Time Commitment Price
Oct 6–Nov 23, 2021 Self-Paced Online 6 weeks 6-8 hours/week $2,800
Jan 26–Mar 15, 2022 Self-Paced Online 6 weeks 6-8 hrs/wk $2,800
Aug 3–Sep 20, 2022 Self-Paced Online 6 weeks 6-8 hrs/wk $2,800
See More Dates

Tracks

Management and Leadership

Certificate Credits

2.0 EEUs

Topics

- Operations

- Organizations & Leadership

- Strategy & Innovation

Enroll Now!