Deep Dive: AI + Medicine

Curated to help students engage in specialized learning of how AI is transforming medicine and the healthcare industry. Students get a chance to build real world, impactful group projects in the field of AI and medicine.

Program structure

Weeks 1 to 2

Introduction to AI and medicine

Weeks 3 to 5

Receive an introduction to key topics in AI and medicine - including medical data preparation, EDA, Convolutional Neural Networks, and more

Weeks 6 to 10

Deep dive into advanced topics like image classification, regularization and transfer learning, and fundamentals of clinical evolution.

Program Details

This program is conducted entirely online!

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AI + Medicine Curriculum

1

Session 1

Theory Lecture

Introduction to AI and medicine

Code Walk-Through

Introduction to python & basic programming

Hands-on Session

Work on problem sets in groups

2

Session 2

Theory Lecture

Medical data preparation and exploratory data analysis (EDA)

Code Walk-Through

Basic pipeline of executing a medical data science project

Hands-on Session

Work on problem sets in groups

3

Session 3

Theory Lecture

Fundamentals of neural networks (regression)

Code Walk-Through

Basic introduction of tensorflow keras

Hands-on Session

Work on problem sets in small groups

4

Session 4

Theory Lecture

Convolutional neural networks (classification)

Code Walk-Through

Image classification task

Hands-on Session

Work on problem set in groups

5

Session 5

Theory Lecture

Advanced convolutional neural networks

Code Walk-Through

Advanced image classification task

Hands-on Session

Work on problem sets in groups

6

Session 6

Theory Lecture

Convolutional neural networks (segmentation)

Code Walk-Through

Image segmentation task

Hands-on Session

Begin EDA work for projects in small groups

7

Session 7

Theory Lecture

Tools for improving CNNs, regularization and transfer learning

Code Walk-Through

Image segmentation with transfer learning

Hands-on Session

Create the baseline model and template for the project in small groups

8

Session 8

Theory Lecture

Fundamentals of clinical evaluation and other AI applications

Code Walk-Through

Statistics and thorough evaluation pipelines

Hands-on Session

Create the advanced model for the project in small groups

9

Session 9

Theory Lecture

Ethics in AI

Code Walk-Through

Project work

Hands-on Session

Continue work on the project in small groups

10

Session 1

Theory Lecture

Presentations

Code Walk-Through

Presentations

Hands-on Session

Closing ceremony