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. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine.
AI For Medical Treatment

AI For Medical Treatment
This course is part of AI for Medicine Specialization



Instructors: Pranav Rajpurkar
Access provided by Pimpri Chinchwad University
29,309 already enrolled
541 reviews
Recommended experience
What you'll learn
Estimate treatment effects using data from randomized control trials
Explore methods to interpret diagnostic and prognostic models
Apply natural language processing to extract information from unstructured medical data
Skills you'll gain
- Machine Learning
- Text Mining
- Health Informatics
- Statistical Machine Learning
- Data Analysis
- Model Evaluation
- Treatment Planning
- Feature Engineering
- Large Language Modeling
- Deep Learning
- Statistical Analysis
- Clinical Documentation
- Applied Machine Learning
- Statistical Methods
- Patient Treatment
- Machine Learning Methods
- Precision Medicine
- Clinical Trials
- AI Personalization
- Medical Science and Research
Details to know

Add to your LinkedIn profile
3 assignments
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 3 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Learner reviews
- 5 stars
77.44%
- 4 stars
15.71%
- 3 stars
4.25%
- 2 stars
1.29%
- 1 star
1.29%
Showing 3 of 541
Reviewed on Dec 7, 2020
The assignment for the first week was out of scope for the course in my opinion. It was too much focused on a good handling of pandas which is rather difficult for people who are not experts in pandas
Reviewed on Jun 23, 2020
A bit tough, but well laid and well explained.Overall the entire specialization was very good. However it misses in depth theory . But overall a very good course with practical applications
Reviewed on Sep 16, 2020
Wonderful course to learn the real application of AI in the medical field. Wonderfully explained every difficult concept with a simple explanation.
Explore more from Data Science

DeepLearning.AI

DeepLearning.AI

DeepLearning.AI

