This presentation showcased how Dr. Shahram Yazdani and his interdisciplinary team at UCLA are using AI and OpenAI’s language models to enhance diagnostic precision and address systemic inequities in healthcare. By leveraging text embeddings and semantic vectorization, their projects aim to reduce diagnostic errors, predict hospitalizations, and personalize care—especially for children with complex medical needs in underserved communities.