Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and segmenting 2D and 3D medical images to augment diagnosis and then move on to modeling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.

The Program

1. Applying AI to 2D medical imaging data.
2. Applying AI to 3D medical imaging data.
3. Applying AI to EHR data.
4. Applying AI to wearable device data.

What will you learn 

• Learn the fundamental skills needed to work with 2D medical imaging data and how to use AI to derive clinically-relevant insights from data gathered via different types of 2D medical imaging such as x-ray, mammography, and digital pathology. Extract 2D images from DICOM files and apply the appropriate tools to perform exploratory data analysis on them.
• Learn the fundamental skills needed to work with 3D medical imaging datasets and frame insights derived from the data in a clinically relevant context.
• Learn the fundamental skills to work with EHR data and build and evaluate compliant, interpretable models.
• Learn how to build algorithms that process the data collected by wearable devices and surface insights about the wearer’s health.