San Francisco Fed

Evaluating Local Language Models: An Application to Financial Earnings Calls

This study evaluates the performance of local large language models (LLMs) in interpreting financial texts, in comparison to closed-source, cloud-based models. Our study is comprised of two main ...
ascopubs.org

Evaluation of a Natural Language Processing Model to Identify and Characterize Patients in the United States With High-Risk Non–Muscle-Invasive Bladder Cancer

Development of an Electronic Health Record–Based Algorithm for Predicting Lung Cancer Screening Eligibility in the Population-Based Research to Optimize the Screening Process Lung Research Consortium ...
News Medical

Artificial intelligence for medical evidence summarization: evaluating the use of large language models

In a recent study posted to the medRxiv* preprint server, researchers systematically evaluated the capabilities and limitations of large language models (LLMs), specifically ChatGPT, for zero-shot ...
ascopubs.org

Natural Language Processing–Assisted Classification Models to Confirm Monoclonal Gammopathy of Undetermined Significance and Progression in Veterans' Electronic Health Records

We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...