DeepLearning.AI
Professional CertificateIntermediate

AI for Medicine

Instructor: Pranav Rajpurkar

DeepLearning.AI

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  • Intermediate
  • 137 Video Lessons
  • 29 Code Examples
  • 9 Graded Assignments PRO
  • Earn a certificate with PRO
  • Instructor: Pranav Rajpurkar
  • DeepLearning.AIDeepLearning.AI
  • Learn more aboutMembership PRO Plan

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 will gain

Model interpretation
Image Segmentation
Natural Language Extraction
Machine Learning
Time-To-Event Modeling
Deep Learning
Model Evaluation
Multi-Class Classification
Random Forest
Model Tuning
Treatment Effect Estimation
Machine Learning Interpretation

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. In this Specialization, you’ll gain practical experience applying machine learning to concrete problems in medicine. You’ll learn how to:

  • Diagnose diseases from x-rays and 3D MRI brain images
  • Predict patient survival rates more accurately using tree-based models
  • Estimate treatment effects on patients using data from randomized trials
  • Automate the task of labeling medical datasets using natural language processing

Course Outline

AI for Medical Diagnosis

Week 1: Disease Detection with Computer Vision
Week 2: Evaluating Models
Week 3: Image Segmentation on MRI Images
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Instructor

Pranav Rajpurkar

Pranav Rajpurkar

Computer Science, Stanford University

Frequently Asked Questions

Who is this Specialization for?

The AI For Medicine Specialization is for anyone who has a basic understanding of deep learning and wants to apply AI to the medicine space. After taking the Specialization, you could go on to pursue a career in the medical industry as a data scientist, machine learning engineer, innovation officer, or business analyst.

What will I learn in this Specialization?

In Course 1, you’ll learn how AI can help doctors make better medical diagnoses. In Course 2, you’ll learn how AI can improve predictions of patients’ future health. In Course 3, you’ll learn how AI can make better treatment recommendations based on individual patients’ health data.

Are there any prerequisites?

We recommend taking the Deep Learning Specialization first, but it’s not required. You should be able to code in Python and understand statistics and probability.

How do I take the Specialization?
How long is the Specialization?

It typically takes 3-4 weeks, 4-6 hours per week to complete each course. There will be three courses in the Specialization.

How much does the Specialization cost?

You can take this Specialization on the DeepLearning.AI platform. A DeepLearning.AI Pro subscription costs $30/month, and gives you access to all courses by DeepLearning.AI.

The Specialization is also available on Coursera. A Coursera subscription costs $49/month.

Can I preview the Specialization?

> Yes! You can preview the course for free by accessing the entire first module at no cost. This allows you to explore the learning experience before deciding if you’d like to continue. If you want full access to all modules, assessments, and the certificate of completion, you’ll need to upgrade to the paid version.

Can I apply for financial aid?

Yes, Coursera provides financial aid to learners who cannot afford the fee. You can apply for it by going to the Coursera course page and clicking on the Financial Aid link beneath the “Enroll” button on the left.

Will I receive a certificate at the end of the Specialization?

You will receive a certificate at the end of each course if you pay for the courses and complete the programming assignments. There is a limit of 180 days of certificate eligibility, after which you would have to repurchase the course. If you audit the course for free, you will not receive a certificate.

Once all three courses in the Specialization are released and you are subscribed to the Specialization, you will also receive a certificate for the Specialization if you complete all three courses.

Is this a stand-alone course or a Specialization?

This is a deeplearning.ai Specialization made up of multiple courses. You can take the first two courses now on Coursera. Course 3 will be released by the end of May 2020.

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Also available on Coursera