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Large Language Models Are Less Effective at Clinical Prediction Tasks Than Locally Trained Machine Learning Models Read the abstract Moderator Presenter Statement of Purpose Over the past several decades, medicine has been increasingly aided by artificial intelligence (AI) and particularly machine learning (ML). While model development has advanced, it is [...]

Multi-Modality Risk Prediction of Cardiovascular Diseases for Breast Cancer Cohort in the All of Us Research Program Read the abstract Moderator Presenter Statement of Purpose Cardiovascular disease (CVD) is a leading cause of morbidity and mortality among breast cancer (BC) survivors, often exacerbated by the cardiotoxic effects of cancer therapies [...]

AMIA’s Informatics Summit brings together researchers, academicians and innovative thinkers blending complementary thematic tracks in translational bioinformatics, clinical research informatics and data science. Take a look at the top 15 sessions from this year’s Summit. Individual sessions are available for purchase separately.

Recorded live at AMIA's 2025 Informatics Summit. Topics include electronic health records, algorithmvigilance, and biomedical named entity recognition

Recorded live at AMIA's 2025 Informatics Summit. Topics include clinical phenotyping and electronic health records.

Recorded live at AMIA's 2025 Informatics Summit. Topic include Multiple Sclerosis, electronic phenotyping, and heart disease.

Recorded live at AMIA's 2025 Informatics Summit. Topics include Heath Informatics Exchanges (HIEs) and Health Informatics Networks (HINs).

Recorded live at AMIA's 2025 Informatics Summit. Topic include SmartState, algorithmvigilance, and precision medicine.