1 citations · 1 across the 4 of their papers we have counts for
4 papers
Model Retirement Creates Reproducibility Risk in Biomedical AI Publications
Nathan Wolfrath, Meghan Conroy, Thomas Kosten +7
Background. Large language models (LLMs) are being adopted in biomedical research at a rapid and accelerating pace, yet commercial services that host many widely used models operat…
Rising Prevalence of Detected AI-Generated Text in Medical Literature: Longitudinal Analysis in Open Access Articles
Nathan Wolfrath, Simrin Patel, Madelyn Flitcroft +4
Generative artificial intelligence (AI) tools are becoming increasingly used for writing tasks. However, the extent of their use in peer-reviewed medical literature remains unclear…
Stronger Baseline Models -- A Key Requirement for Aligning Machine Learning Research with Clinical Utility
Nathan Wolfrath, Joel Wolfrath, Hengrui Hu +2
Machine Learning (ML) research has increased substantially in recent years, due to the success of predictive modeling across diverse application domains. However, well-known barrie…
PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models
Shashi Kant Gupta, Aditya Basu, Mauro Nievas +10
Clinical trial matching is the task of identifying trials for which patients may be potentially eligible. Typically, this task is labor-intensive and requires detailed verification…