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!
Deep Dive: AI + Medicine
Deep Dive: AI + Medicine
Our AI + Medicine Deep Dive is 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 projects in the field of AI and medicine!
Program Structure
Weeks 1 & 2:
Introduction to AI and medicine
Weeks 3 & 5:
Receive an introduction to key topics in AI and medicine - including medical data preparation, EDA, Convolutional Neural Networks, and more
Weeks 6 & 10:
Deep dive into some more complex topics which includes:
Image Segmentation
Regularization and Transfer Learning
Fundamentals of Clinical Evolution
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:
Image Segmentation
Regularization and Transfer Learning
Fundamentals of Clinical Evolution
Deep dive into some more complex topics which includes:
Program Details
This program is conducted entirely online!
-
25 hours over 10 weeks (weekends).
-
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).
-
Completion of AI Scholars or background in coding.
-
Grades 8-12.
-
A group project with 3-4 other students.
Here is the program brochure with more details!
Program Details
This program is conducted entirely online!
-
25 hours over 10 weeks (weekends).
-
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).
-
Completion of AI Scholars or background in coding.
-
Grades 8-12.
-
A group project with 3-5 other students.
Here is the program brochure with more details!
AI DEEP DIVE AI MEDICAL SYLLABUS
Session 1Session 2Session 3Session 4Session 5Session 6Session 7Session 8Session 9Session 10Lecture 1: TheoryIntro to AI and MedicineMedical data preparation and Exploratory Data Analysis (EDA)Fundamentals of Neural Networks (regression)Convolutional Neural Networks (classification)Advanced Convolutional Neural NetworksConvolutional Neural Networks (segmentation)Tools for Improving CNNs: Regularization and Transfer LearningFundamentals of Clinical Evaluation and other AI applicationsEthics in Clinical AIPresentationsLecture 2: Code Walk-ThroughIntro to Python & Basic ProgrammingBasic Pipeline of Executing a Medical Data Science ProjectBasic Introduction of Tensorflow KerasImage classification taskAdvanced image classification taskImage segmentation taskImage segmentation with transfer learningStatistics and thorough evaluation pipelinesProject workPresentationsSection:Hands-on workHands-on workHands-on workHands-on workHands-on workProject: Start Projects with EDA!Project: Baseline Model (Template)Project: Advanced Model (Upgrade from Baseline)Project workClosing Ceremony