Artificial Intelligence in Health Care
Earn an official certificate of professional achievement from Massachusetts Institute of Technology.
Improving prediction is one of the key challenges the medical industry faces in advancing patient care. Enhancing diagnosis, individualizing treatments, and understanding disease progression are all matters of prediction, an area where machine learning (ML) and artificial intelligence (AI) excels.
Discover the impact AI innovations can have in medicine — on both traditional health care systems and decision-making approaches — with the Artificial Intelligence in Health Care 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 ML methods with applications in health care. Regina Barzilay, your Faculty Director, is also globally recognized for her work in AI and breast cancer detection.
Who should attend?
Is this course for you?
Whether you work in business or medicine, this course will give you an understanding of the transformative role that AI and ML can play in the health care industry. Professionals working in the health sector will benefit from an understanding of the types of problems that AI techniques can help solve. This program covers key topics such as the basics of ML, neural networks, and deep learning. The knowledge gained throughout this course can be immediately and directly applied to roles within the health care sector.
Develop a grounded understanding of the use of AI for health care improvements as you follow your learning path through the weekly modules of this online program.
AI and machine learning — Applications and foundations
Using AI for disease diagnosis and patient monitoring
Natural language processing and data analytics in health care
Interpretability in machine learning — Benefits and challenges
Patient risk stratification and augmenting clinical workflows
Taking an integrated approach to hospital management and optimization
Course delivery details
- 6 weeks Excluding orientation
- 6–8 hours per week Self-paced learning online
Certification / Credits
Realize the potential of AI and ML in health care, and earn an official digital certificate of completion from MIT Sloan School of Management.
This program also counts toward an MIT Sloan Executive Certificate, which you can earn by completing four programs; three from your chosen certificate track and one completed in person. Find out more.
What will set you apart
On completion of this course, you’ll walk away with:
- An AI decision framework to help you evaluate the suitability of AI technologies within your work context.
- Insights into the AI opportunities available across a range of health care contexts, from hospital management to disease diagnosis.
- An overview of AI and ML fundamentals, specifically through the lens of its applicability in health care.
- An understanding of AI’s practical implementation and design challenges.
- Knowledge of the potential of natural language processing, data analytics, and ML within health care.
Why choose GetSmarter?
- Data-driven course selection
- Outcomes-based design
- People-mediated delivery
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