AI for Healthcare

The Careers team at Udacity is here to help you move forward in your career - whether it's finding a new job, exploring a new career path, or applying new skills to your current job.

In this lesson, you will be given an introduction to this course about AI for 2D medical imaging, why AI is important and where AI fits in the space.

In this lesson, we will cover clinical foundations such as clinical workflows, applications of 2D imaging in clinical settings and how machine learning impacts clinics.

In this lesson, we will learn the DICOM standard in medical imaging, and how to explore medical imaging data and prepare it for machine learning applications.

In this lesson, we'll dive deep into classification tasks for 2D medical imaging using different machine learning models. and we will talk about pre-process data, train, test, and validate models.

In this lesson, you will learn about how your work fits into the bigger picture, and how it’s regulated by the FDA, which is an often-overlooked, but incredibly important.

Project Description - Pneumonia Detection From Chest X-Rays

Project Rubric - Pneumonia Detection From Chest X-Rays

In this lesson, we will introduce the course and instructors. We will give you an overview of the context for AI in 3D medical imaging space, and cover the objectives of the course.

In this lesson, we cover the basic terminology and concepts related to 3D medical imaging. We will look at the problem space from a clinical standpoint and learn how CT and MR scanners produce images.

In this lesson, we will dive deeper into medical imaging formats NIFTI and DICOM, how scanner data is represented, and how to read medical volumes stored in these files and analyze them.

In this lesson, we cover the basics of building deep neural networks for 3D medical imaging (mostly segmentation & classification) and performance evaluation from a software and clinical perspective.

In this lesson, we'll talk about clinical networks, architecture, and AI deployment, tools and their use by data scientists and clinicians, as well as medical device regulation and data privacy.

In this project, you will curate a dataset of brain MRIs, train a segmentation on a CNN, and integrate this into a clinical network to quantify hippocampal volume for Alzheimer's progression.

Project Description - Hippocampal Volume Quantification in Alzheimer's Progression

Project Rubric - Hippocampal Volume Quantification in Alzheimer's Progression

Introduction to the EHR Data course and the instructor.

Learn about the importance of data security and the different standards that apply to EHR. Also, learn about analyzing EHR data.

In this lesson you will learn how to work with different EHR codes and how to map them properly to records.

In this lesson, you'll gain skills in feature engineering and transformation of EHR.

In this final lesson, you'll be putting all of your skills together to build, evaluate and interpret ML models for Bias and Uncertainty.

In this project students will use what they learn in the classroom to apply AI in healthcare for patient data.

Project Description - Patient Selection for Diabetes Drug Testing

Project Rubric - Patient Selection for Diabetes Drug Testing

We’ll cover what wearables are and the scope of the class. Learn who your instructor is and his thoughts on the promise and caveats of wearables in medical research and decision making.

A brief tour through sampling theory, signal processing, the Fourier transform, and other related topics. We’ll briefly cover some plotting and visualization techniques here as well.

We cover the basics of the accelerometer, the PPG sensor, and the ECG sensor, as well as what these signals look like in typical environments and the types of noise that we will encounter.

Build an activity classifier using a wrist-worn accelerometer!

We deep dive into a fundamental algorithm for ECG processing and use that as the basis for an arrhythmia detection algorithm.

In this project, you will create a pulse rate algorithm that takes into account activity and apply this algorithm to a new data set to determine clinically significant features.

Project Description - Motion Compensated Pulse Rate Estimation

Project Rubric - Motion Compensated Pulse Rate Estimation

Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.

Project Description - Improve Your LinkedIn Profile

Project Rubric - Improve Your LinkedIn Profile