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Jun. 10, 2022

AIMed Virtual International Conference

Dr. Maame Yaa Yiadom presented “A Framework for Artificial Intelligence in Emergency Medicine” at the Artificial Intelligence in Medicine (AIMed)’s virtual international conference held on March 30-31st. The conference covered various topics such as surgery, critical care, neuroscience and emergency medicine.
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Jun. 10, 2022

Biomedical Informatics Research Colloquium

Dr. Maame Yaa Yiadom was a discussant on a panel hosted by the Biomedical Informatics Research Colloquium titled, “Building Bridges Across the Translational Valley of Death: Deploying Clinical Prediction Models at Stanford.”
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Jun. 10, 2022

Dr. Yiadom: Interim Vice Chair for Research

Dr. Maya Yiadom is the Interim Vice Chair for Research of the Department of Emergency Medicine at Stanford University.
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Jun. 10, 2022

Whitney Brown at Johns Hopkins

2019-2020 Lead Intern Whitney Brown from Meharry Medical School starts emergency medicine residency at Johns Hopkins University Hospital.
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Jun. 10, 2022

HSR-DCC at Stanford University!

The Emergency Care HSR-DCC Moves to Stanford University to add to the “Precision Health Care” mission.
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May. 04, 2022

Lang at AEM Conference

HSR-DCC Intern, Kendrick Lang, and MS3 at Columbia University presents an abstract at the Mid Atlantic Society of Academic Emergency Medicine Conference at George Washington University in Washington, DC on March 4, 2020.
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Feb. 05, 2022

Quantitative Sciences Unit (QSU) Collaboration

Dr. Yiadom kicks off the HSR-DCC’s statistical collaboration with the Quantitative Sciences Unit (QSU) with a presentation on “Precision-Oriented Risk Prediction Approach to Aid Early STEMI Diagnosis in the Emergency Department.”
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Jan. 26, 2022

Stanford Biomedical Informatics Research Colloquia

The HSR-DCC’s work on predictive modeling to improve the diagnosis of emergency care conditions will be presented to the Stanford Biomedical Informatics Research Colloquia on September 24, 2020.
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Jan. 11, 2022

SAEM 2019 Presentation

The HSR-DCC’s work on predictive modeling to improve the diagnosis of emergency care conditions will be presented to the Stanford Biomedical Informatics Research Colloquia on September 24, 2020.