Education Catalog

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 [...]

Balancing Efficacy and Computational Burden: Weighted Mean, Multiple Imputation, and Inverse Probability Weighting Methods For Item Non-response in Reliable Scales Read the article Moderator Presenter Statement of Purpose In survey research, handling missing data is essential for producing valid inferences. Multiple imputation (MI) is widely regarded as the gold standard [...]

AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models