4 papers
Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine
Michael S. Yao, Osbert Bastani, Alma Andersson +3
The goal of personalized medicine is to discover a treatment regimen that optimizes a patient's clinical outcome based on their personal genetic and environmental factors. However,…
Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization
Michael S. Yao, James C. Gee, Osbert Bastani
The goal of offline model-based optimization (MBO) is to propose new designs that maximize a reward function given only an offline dataset. However, an important desiderata is to a…
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang, Mona Gandhi, Yufei Wang +5
While deep networks have achieved broad success in analyzing natural images, when applied to medical scans, they often fail in unexcepted situations. We investigate this challenge…
Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria
Michael S. Yao, Allison Chae, Charles E. Kahn +4
Diagnostic imaging studies are an increasingly important component of the workup and management of acutely presenting patients. However, ordering appropriate imaging studies accord…