DeepLearning.AI
AI for Medicine Specialization
DeepLearning.AI

AI for Medicine Specialization

Taught in English

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Amirhossein Kiani
Pranav Rajpurkar
Eddy Shyu

Instructors: Amirhossein Kiani

43,623 already enrolled

Specialization - 3 course series

Get in-depth knowledge of a subject

4.7

(2,081 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Details to know

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.7

(2,081 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

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  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from DeepLearning.AI
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Specialization - 3 course series

AI for Medical Diagnosis

Course 120 hours4.7 (1,908 ratings)

What you'll learn

Skills you'll gain

Category: Multi-class classification
Category: Image Segmentation
Category: Machine Learning
Category: Deep Learning
Category: model evaluation

AI for Medical Prognosis

Course 229 hours4.7 (755 ratings)

What you'll learn

  • Walk through examples of prognostic tasks

  • Apply tree-based models to estimate patient survival rates

  • Navigate practical challenges in medicine like missing data  

Skills you'll gain

Category: Random Forest
Category: Machine Learning
Category: Deep Learning
Category: time-to-event modeling
Category: model tuning

AI For Medical Treatment

Course 322 hours4.7 (505 ratings)

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

Category: Random Forest
Category: natural language entity extraction
Category: treatment effect estimation
Category: machine learning interpretation
Category: question-answering

Instructors

Amirhossein Kiani
DeepLearning.AI
2 Courses72,078 learners

Offered by

DeepLearning.AI

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