AI for Healthcare

Overview

Title:

AI for Healthcare

Description:

The AI for Healthcare program, offered by Udacity as part of their Nanodegree offerings, introduces two comprehensive courses aimed at harnessing the power of artificial intelligence within the realm of medical imaging. The first course delves into the intricacies of working with 2D medical imaging data, imparting essential skills such as extracting imagery from DICOM files, constructing AI models, and navigating the process of obtaining regulatory approval.

Participants will engage in a hands-on project where they train a Convolutional Neural Network (CNN) to identify signs of pneumonia in chest X-rays, alongside drafting an FDA validation plan. Progressing to the second course, learners will explore the complex world of 3D medical imaging data.

This involves an in-depth look at clinical fundamentals, various imaging modalities, and the typical tasks associated with analysis. More significantly, it focuses on the seamless integration of AI technologies into clinical workflows.

Both courses are meticulously designed to equip students with the knowledge to extract clinically relevant insights from medical imaging data through the application of AI. Categories include Artificial Intelligence Courses and Health Care Courses, making this program essential for those looking to merge technical prowess with healthcare innovation.

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Taught by

Nikhil Bikhchandani, Emily Lindemer, Mazen Zawaideh, Ivan Tarapov and Michael DAndrea

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Subjects