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As artificial intelligence evolves in health care, strategic investment in its research and development is essential to ensure safe and effective application. The National Library of Medicine, a pioneer in AI since the 1960s, continues to advance the field through intramural and extramural research, as well as strategic investments in [...]

Multi-Modal Prediction of Extracorporeal Support—A Resource Intensive Therapy, Utilizing A Large National Database

The American Medical Informatics Association (AMIA) is excited to announce a partnership with Washington University in St. Louis School of Medicine (WashU Medicine) to enhance US policymakers' expertise around AI’s impact on healthcare. This one-day course, taught by leading health informatics educators, aimed to equip legislators and their staff to [...]

This session introduces a solution architecture for automating the transformation of raw, unstructured, and multimodal clinical data into a standardized OMOP data model using large language models (LLMs) and Agentic AI. We outline the end-to-end system developed by John Snow Labs as part of its Patient Journeys product platform, which [...]