3 citations · 3 across the 1 of their papers we have counts for
5 papers
BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
Jiageng Wu, Bowen Gu, Ren Zhou +14
Large language models (LLMs) hold great promise for medical applications and are evolving rapidly, with new models being released at an accelerated pace. However, benchmarking on l…
Scalable Medication Extraction and Discontinuation Identification from Electronic Health Records Using Large Language Models
Chong Shao, Douglas Snyder, Chiran Li +7
Identifying medication discontinuations in electronic health records (EHRs) is vital for patient safety but is often hindered by information being buried in unstructured notes. Thi…
Probabilistic Medical Predictions of Large Language Models
Bowen Gu, Rishi J. Desai, Kueiyu Joshua Lin +1
Large Language Models (LLMs) have shown promise in clinical applications through prompt engineering, allowing flexible clinical predictions. However, they struggle to produce relia…
Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter
Zeqiang Wang, Jiageng Wu, Yuqi Wang +5
Social media is recognized as an important source for deriving insights into public opinion dynamics and social impacts due to the vast textual data generated daily and the 'uncons…
Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds
Jiageng WU, Xian Wu, Jie Yang
Clinical reasoning refers to the cognitive process that physicians employ in evaluating and managing patients. This process typically involves suggesting necessary examinations, di…