2 citations · 3 across the 3 of their papers we have counts for
3 papers
EveryQuery: A Promptable Foundation Model for Clinical Prediction Tasks over Electronic Health Records
Payal Chandak, Gregory Kondas, Liat Antwarg Friedman +2
Autoregressive foundation models for electronic health records can make predictions for diverse clinical tasks without finetuning. These methods work by generating possible "synthe…
One Patient, Many Contexts: Scaling Medical AI with Contextual Intelligence
Michelle M. Li, Ben Y. Reis, Adam Rodman +6
Medical AI, including clinical language models, vision-language models, and multimodal health record models, already summarizes notes, answers questions, and supports decisions. Th…
GENIE: Generative Note Information Extraction model for structuring EHR data
Huaiyuan Ying, Hongyi Yuan, Jinsen Lu +6
Electronic Health Records (EHRs) hold immense potential for advancing healthcare, offering rich, longitudinal data that combines structured information with valuable insights from…