AI for Healthcare

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.

• Welcome to the AI for Healthcare Nanodegree Program
• Applying AI to 2D Medical Imaging Data
• Applying AI to 3D Medical Imaging Data
• Applying AI to EHR Data
• With the transition to electronic health records (EHR) over the last decade, the amount of EHR data has increased exponentially, providing an incredible opportunity to unlock this data with AI to benefit the healthcare system. Learn the fundamental skills of working with EHR data in order to build and evaluate compliant, interpretable machine learning models that account for bias and uncertainty using cutting-edge libraries and tools including Tensorflow Probability, Aequitas, and Shapley. Understand the implications of key data privacy and security standards in healthcare. Apply industry code sets, transform datasets at different EHR data levels, and use Tensorflow to engineer features.
• Applying AI to Wearable Device Data
• Career Services