AI for Healthcare
- Offered byUDACITY
AI for Healthcare at UDACITY Overview
Duration | 4 months |
Total fee | ₹78,131 |
Mode of learning | Online |
Difficulty level | Advanced |
Official Website | Go to Website  |
Credential | Certificate |
AI for Healthcare at UDACITY Highlights
- Earn a certificate from Udacity
- Fee can be paid in installments
- Real-world projects
- Personalized project reviews
AI for Healthcare at UDACITY Course details
Feature engineering
Medical and healthcare regulations and standards
Medical imaging basics
Fda medical device framework
Signal-to-noise ratio
Electrocardiographs
Medical code sets
Clinical basicsDicom
The AI for Healthcare program offers two courses that apply AI to 2D and 3D medical imaging data
The first course covers fundamental skills needed to work with 2D imaging data, such as extracting images from DICOM files, building AI models, and obtaining regulatory approval
The course 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
AI for Healthcare at UDACITY Curriculum
Welcome to the AI for Healthcare Nanodegree Program
AI for Healthcare Nanodegree program
Getting Help
Applying AI to 2D Medical Imaging Data
Introduction to AI for 2D Medical Imaging
Clinical Foundations of 2D Medical Imaging
Applying AI to 3D Medical Imaging Data
Introduction to AI for 3D Medical Imaging
3D Medical Imaging - CLinical Fundamentals
Applying AI to EHR Data
EHR Code Sets
EHR Data Security and Analysis
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AI for Healthcare