97 citations
6 papers
The current status of large language models in summarizing radiology report impressions
Danqing Hu, Shanyuan Zhang, Qing Liu +2
Large language models (LLMs) like ChatGPT show excellent capabilities in various natural language processing tasks, especially for text generation. The effectiveness of LLMs in sum…
Zero-shot information extraction from radiological reports using ChatGPT
Danqing Hu, Bing Liu, Xiaofeng Zhu +2
Electronic health records contain an enormous amount of valuable information, but many are recorded in free text. Information extraction is the strategy to transform the sequence o…
Secuer: ultrafast, scalable and accurate clustering of single-cell RNA-seq data
Nana Wei, Yating Nie, Lin Liu +2
Identifying cell clusters is a critical step for single-cell transcriptomics study. Despite the numerous clustering tools developed recently, the rapid growth of scRNA-seq volumes…
High-dimensional Automated Radiation Therapy Treatment Planning via Bayesian Optimization
Qingying Wang, Ruoxi Wang, Jiacheng Liu +4
Radiation therapy treatment planning can be viewed as an iterative hyperparameter tuning process to balance conflicting clinical goals. In this work, we investigated the performanc…
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
Daochang Liu, Tingting Jiang, Yizhou Wang +3
Surgical skill assessment is important for surgery training and quality control. Prior works on this task largely focus on basic surgical tasks such as suturing and knot tying perf…
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
Daochang Liu, Yuhui Wei, Tingting Jiang +4
Surgical instrument segmentation is a key component in developing context-aware operating rooms. Existing works on this task heavily rely on the supervision of a large amount of la…