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Recruitment Artificial Intelligence in Health Care [MIT Sloan School of Management]

Purchase Information
Type of purchase: Collaborative
Price: 2900 USD
Participants: 0 of 100
Organizer: Missing
Status: A set of participants
Payment: 30.2 USD
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Staff member
Duration: 6 weeks (excluding orientation)
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.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.

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.