This project contains projects for the AI for Healthcare Nanodegree Program

• See the SYLLABUS (Downloaded in November 2020) for more details about the Nanodegree contents and projects

Project List

Project 1: Pneumonia Detection from Chest X-Rays

Skills: Applying AI to 2D Medical Imaging Data

Go to Project

Project Overview

In this project, you will apply the skills that you have acquired in this 2D medical imaging course to analyze data from the NIH Chest X-ray Dataset and train a CNN to classify a given chest x-ray for the presence or absence of pneumonia. This project will culminate in a model that can predict the presence of pneumonia with human radiologist-level accuracy that can be prepared for submission to the FDA for 510(k) clearance as software as a medical device. As part of the submission preparation, you will formally describe your model, the data that it was trained on, and a validation plan that meets FDA criteria.

Project 2: Hippocampal Volume Quantification in Alzheimer's Progression

Skills: Applying AI to 3D Medical Imaging Data

Go to Project

Project 3: Patient Selection for Diabetes Drug Testing

Skills: Applying AI to EHR Data

Go to Project

Project 4: Motion Compensated Pulse Rate Estimation

Skills: Applying AI to Wearable Device Data

Go to Project

---

Licensing, Authors, Acknowledgements

All contents in this project is a part of my completed projects for the AI for Healthcare Nanodegree Program and must give credit to Udacity.

This project is MIT licensed.