
Overview
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments.
These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend taking the AI for Medicine Specialization offered by Coursera in partnership with Deeplearning.
Applied Learning Project
Medicine is one of the fastest-growing and important application areas, with unique challenges like handling missing data. You’ll start by learning the nuances of working with 2D and 3D medical image data. You’ll then apply tree-based models to improve patient survival estimates. You’ll also use data from randomized trials to recommend treatments more suited to individual patients. Finally, you’ll explore how natural language extraction can more efficiently label medical datasets.
Get more details
Visit university websiteProgramme Structure
Courses include:
- AI for Medical Diagnosis
- AI for Medical Prognosis
- AI For Medical Treatment
Check out the full curriculum
Visit university websiteKey information
Duration
- Part-time
- 3 months
- 7 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Disciplines
Medicine Artificial Intelligence Machine Learning View 258 other Short Courses in Machine Learning in United StatesExplore more key information
Visit university websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- You can program in Python and are comfortable with statistics and probability. The Deep Learning Specialization is recommended but not required.
Make sure you meet all requirements
Visit university websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months.
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