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20222025
most citedA Hybrid Framework with Large Language Models for Rare Disease Phenotyping

32 citations · 47 across the 16 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CL2024★ 7 cited

MedExQA: Medical Question Answering Benchmark with Multiple Explanations

Yunsoo Kim, Jinge Wu, Yusuf Abdulle +1

This paper introduces MedExQA, a novel benchmark in medical question-answering, to evaluate large language models' (LLMs) understanding of medical knowledge through explanations. B…

cs.CL2024★ 1 cited

Infusing clinical knowledge into tokenisers for language models

Abul Hasan, Jinge Wu, Quang Ngoc Nguyen +7

This study introduces a novel knowledge enhanced tokenisation mechanism, K-Tokeniser, for clinical text processing. Technically, at initialisation stage, K-Tokeniser populates glob…

cs.CL2024★ 1 cited

Chain-of-Though (CoT) prompting strategies for medical error detection and correction

Zhaolong Wu, Abul Hasan, Jinge Wu +4

This paper describes our submission to the MEDIQA-CORR 2024 shared task for automatically detecting and correcting medical errors in clinical notes. We report results for three met…

cs.CL2024★ 1 cited

RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization

Jinge Wu, Abul Hasan, Honghan Wu

Radiology report summarization is a crucial task that can help doctors quickly identify clinically significant findings without the need to review detailed sections of reports. Thi…

cs.CL2024

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.CL2024★ 32 cited

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…

cs.CV2024★ 1 cited

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Yunsoo Kim, Jinge Wu, Yusuf Abdulle +2

Recent advancements in Computer Assisted Diagnosis have shown promising performance in medical imaging tasks, particularly in chest X-ray analysis. However, the interaction between…

cs.CL2024

Hallucination Benchmark in Medical Visual Question Answering

Jinge Wu, Yunsoo Kim, Honghan Wu

The recent success of large language and vision models (LLVMs) on vision question answering (VQA), particularly their applications in medicine (Med-VQA), has shown a great potentia…