AI Essentials for Healthcare is a self-directed course designed to support professional development on the application of AI in healthcare.
Course Objectives
- Understand the role of AI in advancing healthcare outcomes for all
- Demystify AI “buzzwords” like machine learning, deep learning, computer vision, and natural language processing (NLP)
- Identify the right AI tool for different challenges and opportunities
- Manage and launch AI projects in healthcare
The curriculum focuses on:
- Identifying appropriate AI tools for different contexts and applications in healthcare settings
- Leveraging AI-based clinical decision support tools to reduce inconsistencies in healthcare
- Managing the organizational resources needed for AI, measuring performance and outcomes, and justifying the return on investment
- Building high-performance ML/AI teams and creating the right organizational culture for AI-enabled transformation
- Translating cutting-edge AI knowledge into objectivity-enhancing projects
The content, which covers both foundational and emerging AI topics, provides keys to leading in this period of rapid growth of AI, as the healthcare industry continues to evolve and produce an increasing amount of yet-unharnessed data power.
Course Structure
This course contains nine modules, each composed of multiple lessons. Each lesson contains a video, typically 10 minutes in length or shorter. At the end of each module, there is a quiz for self-assessment.
No coding experience is required. This course focuses on essential
AI concepts. However, to gain a solid grasp of AI concepts, it is critical that
you "experience" the coding process (to see how the concepts are
applied). Google Colab notebooks are provided for this purpose. You are not
required to understand the coding details, but you are required to view the
notebooks. The notebooks are self-explanatory and require no setup or additional
coding.
Instrumental Persons
We would like to recognize and express our gratitude to the following people who shared in the creation and implementation of this course:
- Gordon Gao, PhD, Johns Hopkins University, DSTC Core, AIM-AHEAD
- Ritu Agarwal, PhD, Johns Hopkins University, DSTC Core, AIM-AHEAD
- Upasna Sagar, MHA, BDS, Johns Hopkins University, DSTC Core, AIM-AHEAD
- Neil Sehgal, PhD, MPH, University of Maryland, College Park
- Beth Blauer, JD, Johns Hopkins University
- Toufeeq Ahmed, PhD, Communications Hub, AIM-AHEAD
- Aidan Hoyal, MSIS, MA, Communications Hub, AIM-AHEAD
- Zainab Latif, MCS, Communications Hub, AIM-AHEAD
We also thank the following teaching assistants for their outstanding contributions: Louis Liu, Junjie Luo, Husnaa Shashid, and Angela Yang.