[HTML][HTML] Focus: Big Data: Artificial Intelligence to Improve Patient Understanding of Radiology Reports

K Amin, P Khosla, R Doshi, S Chheang… - The Yale Journal of …, 2023 - ncbi.nlm.nih.gov
Diagnostic imaging reports are generally written with a target audience of other providers.
As a result, the reports are written with medical jargon and technical detail to ensure …

Interactive and explainable region-guided radiology report generation

T Tanida, P Müller, G Kaissis… - Proceedings of the …, 2023 - openaccess.thecvf.com
The automatic generation of radiology reports has the potential to assist radiologists in the
time-consuming task of report writing. Existing methods generate the full report from image …

Exploring and distilling posterior and prior knowledge for radiology report generation

F Liu, X Wu, S Ge, W Fan, Y Zou - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Automatically generating radiology reports can improve current clinical practice in diagnostic
radiology. On one hand, it can relieve radiologists from the heavy burden of report writing; …

Competence-based multimodal curriculum learning for medical report generation

F Liu, S Ge, Y Zou, X Wu - arXiv preprint arXiv:2206.14579, 2022 - arxiv.org
Medical report generation task, which targets to produce long and coherent descriptions of
medical images, has attracted growing research interests recently. Different from the general …

Auto-encoding knowledge graph for unsupervised medical report generation

F Liu, C You, X Wu, S Ge, X Sun - Advances in Neural …, 2021 - proceedings.neurips.cc
Medical report generation, which aims to automatically generate a long and coherent report
of a given medical image, has been receiving growing research interests. Existing …

Contrastive attention for automatic chest x-ray report generation

F Liu, C Yin, X Wu, S Ge, Y Zou, P Zhang… - arXiv preprint arXiv …, 2021 - arxiv.org
Recently, chest X-ray report generation, which aims to automatically generate descriptions
of given chest X-ray images, has received growing research interests. The key challenge of …

[HTML][HTML] Integrating domain knowledge for biomedical text analysis into deep learning: A survey

L Cai, J Li, H Lv, W Liu, H Niu, Z Wang - Journal of Biomedical Informatics, 2023 - Elsevier
The past decade has witnessed an explosion of textual information in the biomedical field.
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …

Aligntransformer: Hierarchical alignment of visual regions and disease tags for medical report generation

D You, F Liu, S Ge, X Xie, J Zhang, X Wu - … 1, 2021, Proceedings, Part III 24, 2021 - Springer
Recently, medical report generation, which aims to automatically generate a long and
coherent descriptive paragraph of a given medical image, has received growing research …

Hybrid retrieval-generation reinforced agent for medical image report generation

Y Li, X Liang, Z Hu, EP Xing - Advances in neural …, 2018 - proceedings.neurips.cc
Generating long and coherent reports to describe medical images poses challenges to
bridging visual patterns with informative human linguistic descriptions. We propose a novel …

An inclusive task-aware framework for radiology report generation

L Wang, M Ning, D Lu, D Wei, Y Zheng… - … Conference on Medical …, 2022 - Springer
To avoid the tedious and laborious radiology report writing, the automatic generation of
radiology reports has drawn great attention recently. Previous studies attempted to directly …