Overview
The AI for Healthcare programme at Udacity project involves training a CNN to classify chest X-rays for the presence of pneumonia and writing an FDA validation plan. The second course covers 3D imaging data, including clinical fundamentals, imaging modalities, and common analysis tasks.
It also explores how AI can be integrated into the clinical workflow. Both courses are designed to teach students how to derive clinically relevant insights from medical imaging data using AI.
Nanodegree Skills
Applying AI to 2D Medical Imaging Data
- Fda medical device framework
- Pydicom
- AI for 2d medical imaging
- Hyperparameter tuning
- Data augmentation
- Image pre-processing
- Data pre-processing
- Convolutional neural networks
- Medical and healthcare regulations and standards
Applying AI to 3D Medical Imaging Data
- Medical and healthcare regulations and standards
- Medical imaging basics
- Clinical basics
- Dicom
- Clinical environment modeling
- Multiplanar reconstruction
- Image segmentation
- Convolutional kernels
Applying AI to EHR Data
- Medical code sets
- Shapley value
- Feature engineering
- TensorFlow
- Healthcare privacy regulations
Applying AI to Wearable Device Data
- Feature engineering
- Signal-to-noise ratio
- Electrocardiographs
- Basic heart physiology
- Pan-tompkins algorithm
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Applying AI to 2D Medical Imaging Data
- Applying AI to 3D Medical Imaging Data
- Applying AI to EHR Data
- Applying AI to Wearable Device Data
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 4 days
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Health Sciences Artificial Intelligence View 897 other preparation in Health Sciences in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prior to enrolling, you should have the following knowledge:
- Data cleaning
- Machine learning frameworks in Python
- Intermediate Python
- Basic supervised machine learning
You will also need to be able to communicate fluently and professionally in written and spoken English.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents499 USD / full≈ 499 USD / full - Out-of-State499 USD / full≈ 499 USD / full
-
Domestic
Applies to youIn-State499 USD / full≈ 499 USD / full
Additional Details
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for AI for Healthcare.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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