Course Description
Artificial Intelligence is being used more widely in medical imaging than ever. A.I. assists in detecting, characterizing, and monitoring medical imaging through deep learning technology. These A.I.s contribute to the lives of sick patients and give healthy patients the assurance they are healthy. This course will allow you to launch a career in the rapidly growing and lucrative field of medical imaging by giving you the advanced AI specific skills that very few have.
You will explore and understand how A.I. is being used in the medical imaging field. You will understand how A.I. learns, as well as use cases to understand the best kind of A.I. to use for a specific situation. You will learn how to use CNNs to detect, segment, and diagnose tumors.
You will learn how to use RNNs to detect changes in image data and use A.I. to complete a capstone project where you will detect, characterize, and monitor real-time thoracic images.
This is one of five courses in our Medical Technology Track that leads to a completion certificate.
Topics Covered
- Introduction to Image Tech Fundamentals
- Neural Network Math/Use for Medical Images
- Image Detection with CNNs
- Image Characterization with CNNs
- Image Monitoring with RNNs
- Capstone Project
Other Courses in this Track
Artificial Intelligence for Genomics
Entrepreneurship for Medical Professionals
Your Instructors
Xccelerate is partnering up with a Saint James School of Medicine to deliver a world-class curriculum that covers both theoretical and technical knowledge related to Artificial Intelligence for Medical Imaging.
Your instructors will vary. Scientific knowledge will be delivered by the doctors and professors at Saint James, while the technical domain will be instructed by industry professionals in A.I. and Machine Learning.