AI Applications in Geriatric Emergency Medicine

Discover how experts are leveraging artificial intelligence (AI) to enhance care for older adults in this informative webinar, sponsored by the Academy of Geriatric Emergency Medicine (AGEM).

Authors
  • 2025 Richard Andrew Taylor

    Richard A. Taylor, MD, MHS

    Vice Chair, Research and Innovation

    UVA Health

    Richard Andrew Taylor, MD, MHS, is an international leader in digital health and artificial intelligence (AI), specializing in the integration of emerging technologies into clinical practice. His research spans interdisciplinary domains, addressing not only the technical aspects of AI-driven clinical decision support but also the ethical, social, and implementation challenges that shape the future of digital health. At UVA, he aims to build collaborative initiatives that bridge medicine, data science, and policy to drive responsible and impactful innovation in emergency care and beyond.

  • Marta Rowh, MD, PhD

    Assistant Professor, Emergency Medicine

    Emory University

    Marta Rowh, MD, PhD, is an assistant professor of emergency medicine (EM) at Emory University and a leading researcher on artificial intelligence (AI) applications in medical education. Her research utilizes Natural Language Processing (NLP) algorithms to analyze how medical education materials represent social demographics and incorporate diverse patient populations in case-based learning. As the 2025 recipient of the SAEM Education grant, she is leading an initiative to apply AI-driven analysis to large volumes of curricular content, identifying demographic underrepresentation that may reinforce health inequities. This research seeks to provide educators with scalable tools to systematically assess and revise curricula to promote more equitable demographic representation.

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