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) excel.1

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.

1MIT Technology Review (Apr, 2019).

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.

Machine learning:

ML is a field of artificial intelligence that uses algorithms to learn from and make predictions on data. This course will introduce you to machine learning algorithms and how they are used in the health care industry.

Neural networks:

The MIT Sloan Artificial Intelligence in Health Care online course provides insights into the different types of neural networks and how they can be applied to health care data. Neural networks are a type of machine learning algorithm that are particularly well suited for tasks such as image recognition and classification.

Deep learning:

Additionally, the AI in health care course will cover the basics of deep learning. Deep learning is the process of using artificial neural networks with many layers to learn complex patterns in data. It is a subfield of machine learning that is concerned with algorithms that learn from data that is unstructured or unlabelled. This course will introduce you to deep learning methods and how they are used in the health care industry.

Computer science professionals:

The course is taught by computer science experts from MIT and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). CSAIL is one of the world’s leading centers for artificial intelligence research. The faculty members teaching this course are at the forefront of their field and are developing cutting-edge technology that is being used in multiple industries today.