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20242026
most citedRiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction

2 citations · 2 across the 4 of their papers we have counts for

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cs.CL2025

Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework

Jinge Wu, Zhaolong Wu, Ruizhe Li +6

The increasing complexity and workload of clinical radiology leads to inevitable oversights and mistakes in their use as diagnostic tools, causing delayed treatments and sometimes…

cs.CL2025

HARE: an entity and relation centric evaluation framework for histopathology reports

Yunsoo Kim, Michal W. S. Ong, Alex Shavick +2

Medical domain automated text generation is an active area of research and development; however, evaluating the clinical quality of generated reports remains a challenge, especiall…

cs.CL2025

Adverse Event Extraction from Discharge Summaries: A New Dataset, Annotation Scheme, and Initial Findings

Imane Guellil, Salomé Andres, Atul Anand +5

In this work, we present a manually annotated corpus for Adverse Event (AE) extraction from discharge summaries of elderly patients, a population often underrepresented in clinical…

cs.CL2025

BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain

Yunsoo Kim, Yusuf Abdulle, Honghan Wu

Biomedical reasoning often requires traversing interconnected relationships across entities such as drugs, diseases, and proteins. Despite the increasing prominence of large langua…

cs.CL2025

IHC-LLMiner: Automated extraction of tumour immunohistochemical profiles from PubMed abstracts using large language models

Yunsoo Kim, Michal W. S. Ong, Daniel W. Rogalsky +3

Immunohistochemistry (IHC) is essential in diagnostic pathology and biomedical research, offering critical insights into protein expression and tumour biology. This study presents…

cs.CL2024

A Hybrid Framework with Large Language Models for Rare Disease Phenotyping

Jinge Wu, Hang Dong, Zexi Li +7

Rare diseases pose significant challenges in diagnosis and treatment due to their low prevalence and heterogeneous clinical presentations. Unstructured clinical notes contain valua…