Are you ready to lead the future of healthcare innovation? AIM-AHEAD’s Program for AI Readiness (PAIR) presents Launching AI and Health Equity Research, a course designed to explore how AI is revolutionizing patient care, diagnosis, and treatment.

Learners will navigate asynchronous modules to receive an introduction to AI, health equity research, and the grant writing process. Upon completion of this course, learners will gain the knowledge to successfully analyze the impact of AI and machine learning (AI/ML) on healthcare, examine challenges in AI/ML related to health equity, explore techniques to address disparities in healthcare data, and develop strategies for a successful grant application.

This course is perfect for healthcare professionals, researchers, and data scientists eager to leverage AI for improved patient outcomes.

Course Highlights:

1. AI for Precision Medicine: Learn the fundamentals of precision medicine, including how AI-driven early detection and phenotyping can save lives. Explore strategies to address bias in AI models.
2. Methodology for Exploratory Text Analysis: Gain an understanding of Natural Language Processing, including word statistics, topic modeling, and Masked Language Models, with a focus on health equity.
3. AI and Equity: Understand the limitations of AI, such as algorithm aversion and AI-human collaboration. Learn prompt engineering techniques for effective AI use while avoiding pitfalls like "prompt brittleness."
4. Tackling Data Distribution Shift: Discover why data distribution shifts are critical in healthcare and how to characterize and mitigate their effects in ML models.
5. Deploying Explainable AI: Explore the importance of transparency in AI predictions through tools like SHAP values and Partial Dependence Plots.
6. Achieving Health Equity through Real-World Data and Health IT: Learn how incorporating social determinants of health into AI can reduce disparities and how to use electronic health records to assess social and behavioral factors.
7. PAIR Grant Writing and Coaching Group I & II: Understand the basics of writing effective grant proposals, the importance of community alignment and peer review, and the specifics of the NIH application process with a discussion on strategies to avoid common pitfalls while creating a well-written Specific Aims page.
8. Preparing Biographical Sketches for Grant Applications: Master the components and formatting of a compelling biographical sketch to enhance your grant applications.
9. PAIR Grant Writing Discussion Panel: Learn how to match and adapt key aspects of your grant proposals to requirements and preferences of different grantors.
10. Complete the Grant Application: Understand best practices for writing a successful grant proposal, including how to identify funding agencies, clear communication tips, and strategic planning development.
11. Decision Tree Modeling Approaches: Get an overview of machine learning techniques like Random Forest and Gradient Boosting and their applications in medical research.
12. From Human-Human Collaboration to Human-AI Collaboration: Learn the principles of successful human-AI collaboration and the importance of integrating human expertise with cutting-edge AI systems.
    
    

Enroll today through the Courses portal in AIM-AHEAD Connect to transform your research and lead advancements in AI and health equity!

This course was developed from lectures presented to awardees of PAIR, which leverages AIM-AHEAD’s capabilities to jump-start AI research for health equity at low-resource institutions through capacity building. Course directors for this program are Gordon Gao, PhD, MBA; Harlan Jones, PhD; and Toufeeq Syed, PhD, MS.

Related links:

• Program for AI Readiness details: PAIR
• AIM-AHEAD Connect Courses: AIM-AHEAD Connect Course Catalog
• Course questions/support: Course Support Help Desk

Interested in taking this course?