1 citations · 1 across the 1 of their papers we have counts for
4 papers
Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports
Yeawon Lee, Christopher C. Yang, Chia-Hsuan Chang +1
Cancer staging is critical for patient prognosis and treatment planning, yet extracting pathologic TNM staging from unstructured pathology reports poses a persistent challenge. Exi…
Collaboration among Multiple Large Language Models for Medical Question Answering
Kexin Shang, Chia-Hsuan Chang, Christopher C. Yang
Empowered by vast internal knowledge reservoir, the new generation of large language models (LLMs) demonstrate untapped potential to tackle medical tasks. However, there is insuffi…
Beyond Self-Consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging
Chia-Hsuan Chang, Mary M. Lucas, Yeawon Lee +2
Advances in large language models (LLMs) have encouraged their adoption in the healthcare domain where vital clinical information is often contained in unstructured notes. Cancer s…
Explainable AI for Fair Sepsis Mortality Predictive Model
Chia-Hsuan Chang, Xiaoyang Wang, Christopher C. Yang
Artificial intelligence supports healthcare professionals with predictive modeling, greatly transforming clinical decision-making. This study addresses the crucial need for fairnes…