3 citations · 3 across the 1 of their papers we have counts for
3 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…
A chart review process aided by natural language processing and multi-wave adaptive sampling to expedite validation of code-based algorithms for large database studies
Shirley V Wang, Georg Hahn, Sushama Kattinakere Sreedhara +13
Background: One of the ways to enhance analyses conducted with large claims databases is by validating the measurement characteristics of code-based algorithms used to identify hea…
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…