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Education

CDHAI strives to be a leader in education by offering cutting-edge training and resources that empower professionals to leverage AI, data science, and digital health innovations to drive transformative change in healthcare.

  • Executive Education

    Co-Directors Ritu Agarwal and Gordon Gao recently completed a comprehensive 3-day Executive Education program designed to provide leaders and managers with a practical understanding of the evolving AI landscape. The course covered various AI models, including predictive and GenAI models, and explored their potential impact on business outcomes like efficiency and revenue. Participants gained insights into how AI affects organizational structure, leadership, human capital, and team dynamics. Through simulations and real-world business applications, they deepened their understanding of key AI concepts while also discussing the risks and ethical considerations involved in designing responsible AI systems. Stay tuned for our next Executive Education offering to continue your journey in mastering AI’s role in business transformation.

  • NIH Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) Program

    The AIM-AHEAD program, an initiative of the National Institutes of Health, is a groundbreaking effort aimed at building mutually beneficial partnerships and advancing the representation of underrepresented researchers and communities in the development of AI/ML models. Ritu Agarwal and Guodong (Gordon) Gao, Co-Directors of the Center for Digital Health and AI (CDHAI), serve as principal investigators for the Data Science Training Core (DSTC) of AIM-AHEAD. Additionally, Dr. Gao is a faculty leader for the AIM-AHEAD Program for AI Readiness (PAIR), alongside Dr. Jamboor Vishwanatha, Dr. Toufeeq Syed and Dr. Harlan Jones. The PAIR program seeks to improve AI readiness for under-resourced institutions by leveraging AIM-AHEAD resources to jump-start AI for health equity research and grant writing, and by establishing institutional bonding with AIM-AHEAD via AI/ML Health Equity Research Labs to generate knowledge for AI success.