activity
20182025
most citedPrompt Engineering for Healthcare: Methodologies and Applications

118 citations · 449 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.CL2023★ 19 cited

Evaluating Large Language Models for Radiology Natural Language Processing

Zhengliang Liu, Tianyang Zhong, Yiwei Li +43

The rise of large language models (LLMs) has marked a pivotal shift in the field of natural language processing (NLP). LLMs have revolutionized a multitude of domains, and they hav…

cs.CL2023★ 21 cited

Radiology-GPT: A Large Language Model for Radiology

Zhengliang Liu, Aoxiao Zhong, Yiwei Li +17

We introduce Radiology-GPT, a large language model for radiology. Using an instruction tuning approach on an extensive dataset of radiology domain knowledge, Radiology-GPT demonstr…

cs.AI2023★ 44 cited

Artificial General Intelligence for Medical Imaging Analysis

Xiang Li, Lin Zhao, Lu Zhang +16

Large-scale Artificial General Intelligence (AGI) models, including Large Language Models (LLMs) such as ChatGPT/GPT-4, have achieved unprecedented success in a variety of general…

cs.AI2023★ 118 cited

Prompt Engineering for Healthcare: Methodologies and Applications

Jiaqi Wang, Enze Shi, Sigang Yu +21

Prompt engineering is a critical technique in the field of natural language processing that involves designing and optimizing the prompts used to input information into models, aim…

cs.CL2023★ 67 cited

An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

Chong Ma, Zihao Wu, Jiaqi Wang +13

The 'Impression' section of a radiology report is a critical basis for communication between radiologists and other physicians, and it is typically written by radiologists based on…

cs.CL2023★ 45 cited

Mask-guided BERT for Few Shot Text Classification

Wenxiong Liao, Zhengliang Liu, Haixing Dai +11

Transformer-based language models have achieved significant success in various domains. However, the data-intensive nature of the transformer architecture requires much labeled dat…

cs.CL2023★ 89 cited

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4

Zhengliang Liu, Yue Huang, Xiaowei Yu +15

The digitization of healthcare has facilitated the sharing and re-using of medical data but has also raised concerns about confidentiality and privacy. HIPAA (Health Insurance Port…