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 Inter IKEA
29,455 already enrolled
542 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
- Clinical Trials
- Deep Learning
- Statistical Methods
- Statistical Analysis
- Model Evaluation
- Patient Treatment
- Text Mining
- Feature Engineering
- Large Language Modeling
- Clinical Documentation
- Health Informatics
- Statistical Machine Learning
- Data Analysis
- Precision Medicine
- Treatment Planning
- Machine Learning Methods
- AI Personalization
- Applied Machine Learning
- Medical Science and Research
- Machine Learning
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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 Jun 26, 2020
Excellent course and the specialization. I feel like I participated in a research project. Learned much, and have cool notebooks to revisit at depth.
Reviewed on Jun 16, 2020
I have no words to say!! I learned a lot! After deep learning specialization, this course gave me an insight into medical data analysis!!
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