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 some more complex topics which includes:
- Image Segmentation
- Regularization and Transfer Learning
- Fundamentals of Clinical Evolution
Program Details
This program is conducted entirely online!
Duration
25 hours over 10 weeks (weekends).
Structure
Section lectures for 1.5 hours and group session with a 5:1 student to mentor ratio for 1 hour (total: 2.5 hours per session).
Pre-requisites
Completion of AI Scholars or background in coding.
Student Background
Grades 8-12.
Output
A group project with 3-5 other students.
Here is our program brochure for more details!
DEEP DIVE AI + MEDICINE SYLLABUS
Deep Dive Ai + Medicine Syllabus
Lecture 1:
Theory
Lecture 2: Code Walk-Through
Hands-on Session:
Small Group
Session 01
Intro to AI and Medicine
Intro to Python & Basic Programming
Hands-on work
Session 02
Medical data preparation and Exploratory Data Analysis (EDA)
Basic Pipeline of Executing a Medical Data Science Project
Hands-on work
Session 03
Fundamentals of Neural Networks (regression)
Basic Introduction of Tensorflow Keras
Hands-on work
Session 04
Convolutional Neural Networks (classification)
Image classification task
Hands-on work
Session 05
Advanced Convolutional Neural Networks
Advanced image classification task
Hands-on work
Session 06
Convolutional Neural Networks (segmentation)
Image segmentation with transfer learning
Project: Start Projects with EDA!
Session 07
Tools for Improving CNNs: Regularization and Transfer Learning
Image segmentation with transfer learning
Project: Baseline Model (Template)
Session 08
Fundamentals of Clinical Evaluation and other AI applications
Statistics and thorough evaluation pipelines
Project: Advanced Model (Upgrade from Baseline)
Session 09
Ethics in Clinical AI
Project work
Project work
Session 10
Project work
Presentations
Closing Ceremony