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Transforming Medicine with AI: from PubMed Search to Machine Diagnosis

Webinar

The explosion of biomedical big data and information in the past decade created new opportunities for discoveries to improve the treatment and prevention of human diseases. But the large body of knowledge presents a grand new challenge. Individual scientists around the world are increasingly finding themselves overwhelmed by the sheer volume of research literature and are struggling to keep up to date and to make sense of this wealth of textual information.

For Your Informatics (FYI) Podcast

Episode 32: ACM-AMIA Joint Podcast Series

Fireside chat with Dr. Holly Urban: Career transition from clinician to product management Dr. Holly Urban is a pediatrician and clinical informaticist. She received her BA from Stanford, her MD from the University of Colorado, and her MBA from Regis University. After working for several years as a...

ONC United States Core Data for Interoperability (USCDI) Draft v4

April 17, 2023

AMIA appreciates ONC’s efforts to solicit feedback on data collection for future iterations of USCDI. Overall, AMIA encourages ONC to ensure that USCDI will decrease burden with common elements for interoperable exchange. Increasing burden on clinical workflow will be a detriment to all stakeholders. We believe the lack of clear […]

AMIA 2023 Linking Informatics and Education Academic Forum Conference (LIEAF)

AMIA 2023 Annual Symposium

The LIEAF conference provides an opportunity for Academic Forum Members and Annual Symposium attendees to learn state-of-the-art approaches and best practices in education, research, and training; and to build, support, and strengthen the community.

Office of Management and Budget Initial Proposals for Updating Race and Ethnicity Statistical Standards

April 12, 2023

AMIA appreciates the efforts of the Working Group and the Office of the Chief Statistician to improve the quality and usefulness of federal race and ethnicity data. The current (1997) race and ethnicity standards should be revised to capture data that reflect the diversity of the U.S. population more accurately […]

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