1 code implementation • 20 Feb 2024 • Wenjun Hou, Yi Cheng, Kaishuai Xu, Yan Hu, Wenjie Li, Jiang Liu
Previous research on radiology report generation has made significant progress in terms of increasing the clinical accuracy of generated reports.
no code implementations • 17 Feb 2024 • Xiangyu Zhang, Hexin Liu, Kaishuai Xu, Qiquan Zhang, Daijiao Liu, Beena Ahmed, Julien Epps
In addition, this approach is not only valuable for the detection of depression but also represents a new perspective in enhancing the ability of LLMs to comprehend and process speech signals.
no code implementations • 12 Jan 2024 • Kaishuai Xu, Wenjun Hou, Yi Cheng, Jian Wang, Wenjie Li
Clinicians typically employ both intuitive and analytic reasoning to formulate a differential diagnosis.
1 code implementation • 21 Oct 2023 • Wenjun Hou, Yi Cheng, Kaishuai Xu, Wenjie Li, Jiang Liu
It then combines the historical records, spatiotemporal information, and radiographs for report generation, where a disease progression graph and dynamic progression reasoning mechanism are devised to accurately select the attributes of each observation and progression.
1 code implementation • 10 Jun 2023 • Wenjun Hou, Kaishuai Xu, Yi Cheng, Wenjie Li, Jiang Liu
This paper explores the task of radiology report generation, which aims at generating free-text descriptions for a set of radiographs.
1 code implementation • 29 May 2023 • Kaishuai Xu, Wenjun Hou, Yi Cheng, Jian Wang, Wenjie Li
It extracts the medical entities and dialogue acts used in the dialogue history and models their transitions with an entity-centric graph flow and a sequential act flow, respectively.