Course curriculum

    1. Welcome and Introductory Instructions

    2. How to Use this Course

    3. Course Syllabus

    4. Course Competencies

    1. Module Description

    2. Pre-Reading 1: Looking Forward to AI and Medicine: Where Are We, and Where Are We Going?

    3. Pre-Reading 2: Artificial Intelligence—From Starting Pilots to Scalable Privilege

    4. Pre-Reading 3: Leveraging GPT-4 for Identifying Cancer Phenotypes in Electronic Health Records

    5. Pre-Reading 4: How Do You Test AI in Medicine

    6. Module 1 Live Call: Small Group Activity

    7. Module 1: Foundations of AI in Health Research Live Call Recording

    1. Module Description

    2. Video Module 2a- Data Science Pipeline

    3. Video Module 2b - Descriptive Analysis

    4. Video Module 2c - Data Information Quality

    5. Pre-Reading 1: How to Clean Data in Microsoft Excel: A Step-by-Step Illustrated Guide

    6. Pre-Reading 2: Top Ten Ways to Clean your Data

    7. Pre-Reading 3: Fundamentals of Research Data and Variables: The Devil Is in the Details

    8. Pre-Reading 4: Basic Introduction to Statistics in Medicine, Part 1: Describing Data

    9. Module 2 Live Call Breakout Group Materials

    10. Module 2 Live Call Recording

    1. Module Description

    2. Pre-Reading 1: Meeting the Artificial Intelligence Needs of U.S. Health Systems

    3. Pre-Reading 2: Respiratory Support Status from EHR Data for Adult Population: Classification, Heuristics, and Usage in Predictive Modeling

    4. Tutorial Videos 1: Getting Started with Orange Tutorial Videos

    5. Tutorial Videos 2: Predictive Modeling

    6. Module 3: Best Practices in AI Implementation Recording

    1. Module Description

    2. Pre-Reading 1: Identifying and Extracting Rare Diseases and Their Phenotypes with Large Language Models

    3. Pre-Reading 2: Large Language Models Facilitate the Generation of Electronic Health Record Phenotyping Algorithms

    4. Pre-Reading 3: Zero-Shot Interpretable Phenotyping of Postpartum Hemorrhage Using Large Language Models

    5. Pre-Reading 4: Artificial Intelligence to Unlock Real-World Evidence in Clinical Oncology: A Primer on Recent Advances

    6. Module 4: AI for Phenotyping Live Call Recording

    1. AI Revolution in Health Services: Transformative Tools for Better Outcomes

About this course

  • Free
  • 34 lessons
  • 5 hours of video content

This course will teach you how to:

  • Integrate advanced AI models into the data science lifecycle.

  • Learn how to select and use data science tools effectively.

  • Identify and understand the best data sources for various AI applications.

  • Select and apply the most effective strategies for implementing large language models (LLM) models in health research practices.

Instructor(s)