6 papers
AcuityBench: Evaluating Clinical Acuity Identification and Uncertainty Alignment
Robin Linzmayer, Georgianna Lin, Di Coneybeare +22
We introduce AcuityBench, a benchmark for evaluating whether language models identify the appropriate urgency of care from user medical presentations. Existing health benchmarks em…
A Framework for Longitudinal Health AI Agents
Georgianna Lin, Rencong Jiang, Noémie Elhadad +1
Although artificial intelligence (AI) agents are increasingly proposed to support potentially longitudinal health tasks, such as symptom management, behavior change, and patient su…
A pipeline for enabling path-specific causal fairness in observational health data
Aparajita Kashyap, Sara Matijevic, Noémie Elhadad +2
When training machine learning (ML) models for potential deployment in a healthcare setting, it is essential to ensure that they do not replicate or exacerbate existing healthcare…
Explainable AI as a Double-Edged Sword in Dermatology: The Impact on Clinicians versus The Public
Xuhai Xu, Haoyu Hu, Haoran Zhang +21
Artificial intelligence (AI) is increasingly permeating healthcare, from physician assistants to consumer applications. Since AI algorithm's opacity challenges human interaction, e…
ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression
Mert Ketenci, Vincent Jeanselme, Harry Reyes Nieva +2
Survival analysis is a fundamental tool for modeling time-to-event outcomes in healthcare. Recent advances have introduced flexible neural network approaches for improved predictiv…
CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records
Chao Pang, Jiheum Park, Xinzhuo Jiang +5
Electronic Health Records (EHRs) provide a rich, longitudinal view of patient health and hold significant potential for advancing clinical decision support, risk prediction, and da…