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 Xavier School of Management, XLRI
29,237 already enrolled
540 reviews
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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
- Model Evaluation
- Machine Learning
- Large Language Modeling
- Medical Science and Research
- Applied Machine Learning
- AI Personalization
- Machine Learning Methods
- Statistical Analysis
- Feature Engineering
- Clinical Trials
- Precision Medicine
- Clinical Documentation
- Statistical Machine Learning
- Statistical Methods
- Text Mining
- Deep Learning
- Data Analysis
- Treatment Planning
- Patient Treatment
- Health Informatics
Details to know

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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 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 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.
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