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Your search keyword '"Wu, Honghan"' showing total 315 results

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1. SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation

2. Integrating Knowledge Retrieval and Large Language Models for Clinical Report Correction

3. Infusing clinical knowledge into tokenisers for language models

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

5. MedExQA: Medical Question Answering Benchmark with Multiple Explanations

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

7. A Hybrid Framework with Large Language Models for Rare Disease Phenotyping

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

9. Hallucination Benchmark in Medical Visual Question Answering

10. Exploring Multimodal Large Language Models for Radiology Report Error-checking

11. Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest

12. Term-BLAST-like alignment tool for concept recognition in noisy clinical texts.

13. Enhancing Natural Language Processing Capabilities in Geriatric Patient Care: An Annotation Scheme and Guidelines

14. Human-in-the-Loop Chest X-Ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs

15. Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP

16. Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets

17. Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical Notes

18. Quantifying Health Inequalities Induced by Data and AI Models

19. Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

20. Automated Clinical Coding: What, Why, and Where We Are?

21. A Unified Review of Deep Learning for Automated Medical Coding

24. Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision

25. A Systematic Review of Natural Language Processing Applied to Radiology Reports

26. A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data

27. Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation

28. Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units

29. Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR

33. On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning

35. Efficiently Reusing Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: Methodology Study

36. Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches

38. Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study

41. COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

43. Antidepressant and antipsychotic prescribing in patients with type 2 diabetes in Scotland: A time‐trend analysis from 2004 to 2021.

45. Development and Validation of a Prognostic Risk Score System for COVID-19 Inpatients: A Multi-Center Retrospective Study in China

47. A survey on clinical natural language processing in the United Kingdom from 2007 to 2022

50. Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification

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