no code implementations • 7 Mar 2024 • Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
The privacy concerns associated with the use of Large Language Models (LLMs) have grown recently with the development of LLMs such as ChatGPT.
no code implementations • 30 Oct 2023 • Zihao Zhang, Zonghai Yao, Huixue Zhou, Feiyun ouyang, Hong Yu
This paper presents EHRTutor, an innovative multi-component framework leveraging the Large Language Model (LLM) for patient education through conversational question-answering.
1 code implementation • 27 Oct 2023 • Mingchen Li, Huixue Zhou, Rui Zhang
Biomedical triple extraction systems aim to automatically extract biomedical entities and relations between entities.
1 code implementation • 24 Oct 2023 • Junda Wang, Zonghai Yao, Zhichao Yang, Huixue Zhou, Rumeng Li, Xun Wang, Yucheng Xu, Hong Yu
We introduce NoteChat, a novel cooperative multi-agent framework leveraging Large Language Models (LLMs) to generate patient-physician dialogues.
no code implementations • 23 Oct 2023 • Ying Liu, Haozhu Wang, Huixue Zhou, Mingchen Li, Yu Hou, Sicheng Zhou, Fang Wang, Rama Hoetzlein, Rui Zhang
It has gained significant attention in the field of Natural Language Processing (NLP) due to its ability to learn optimal strategies for tasks such as dialogue systems, machine translation, and question-answering.
1 code implementation • 7 Aug 2023 • Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yi Cao, Alok Kapoor, Adarsha Bajracharya, Dan Berlowitz, Hong Yu
Patient portal allows discharged patients to access their personalized discharge instructions in electronic health records (EHRs).
no code implementations • 29 May 2023 • Mingchen Li, Yang Ye, Jeremy Yeung, Huixue Zhou, Huaiyuan Chu, Rui Zhang
Contrastive learning has become a popular solution for few-shot Name Entity Recognization (NER).
no code implementations • 27 May 2023 • Huixue Zhou, Robin Austin, Sheng-Chieh Lu, Greg Silverman, Yuqi Zhou, Halil Kilicoglu, Hua Xu, Rui Zhang
Results: From the 198 unique concepts in CIHLex, 62. 1% could be matched to at least one term in the UMLS.