101 citations · 161 across the 22 of their papers we have counts for
4 papers · 1 filter
Toward Better Assessment of LLMs' Performance in Clinical Error Detection
Yifan Zhang, Rahmatollah Beheshti
Automated detection of errors in clinical documentation is a promising application of large language models (LLMs), yet decisions to deploy such models rest on benchmarks that eval…
AgenticSum: An Agentic Inference-Time Framework for Faithful Clinical Text Summarization
Fahmida Liza Piya, Rahmatollah Beheshti
Large language models (LLMs) offer substantial promise for automating clinical text summarization, yet maintaining factual consistency remains challenging due to the length, noise,…
NAST: Improving Negation Handling in Medical Vision-Language Models through Negation-Aware Selective Training
Ali Abbasi, Mehdi Taghipour, Rahmatollah Beheshti
Negation is a fundamental linguistic operation in clinical reporting, yet vision-language models (VLMs) frequently fail to distinguish affirmative from negated medical statements.…
A Multimodal Data Processing Pipeline for MIMIC-IV Dataset
Farzana Islam Adiba, Varsha Danduri, Fahmida Liza Piya +3
The MIMIC-IV dataset is a large, publicly available electronic health record (EHR) resource widely used for clinical machine learning research. It comprises multiple modalities, in…