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

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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.CL20241 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.CL20241 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.CL20241 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…