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 [...]

Join Shaun Shakib, PhD, MPH, FAMIA, and Bonnie Bruner, MSN, RN-BC, as they share insights into their roles, day-to-day work, and real-world client use cases across provider, public health, and government settings—and how Clinical Architecture’s work makes an impact.

Help clinicians get back to seeing patients! Join us for a webinar on cutting-edge strategies to combat alert fatigue and other clinical decision support (CDS) burden. Discover how benchmarks and advanced analytics can reduce variation and eliminate inefficiencies in native CDS systems.

Hosted by the AMIA 25x5 Taskforce, this webinar explores Cedars-Sinai’s implementation of an AI-powered voice dictation technology Aiva to enhance nursing workflows by reducing administrative burden, improving efficiency, and elevate the patient and staff experience. It will cover key strategies and lessons learned for successful adoption, including staff training, workflow [...]

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 [...]