3 papers
cs.AI2025
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…
cs.CL2024
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…
cs.CL2024
Classifying Cancer Stage with Open-Source Clinical Large Language Models
Chia-Hsuan Chang, Mary M. Lucas, Grace Lu-Yao +1
Cancer stage classification is important for making treatment and care management plans for oncology patients. Information on staging is often included in unstructured form in clin…