5 citations · 11 across the 9 of their papers we have counts for
9 papers
Lessons Learned from Evaluation of LLM based Multi-agents in Safer Therapy Recommendation
Yicong Wu, Ting Chen, Irit Hochberg +4
Therapy recommendation for chronic patients with multimorbidity is challenging due to risks of treatment conflicts. Existing decision support systems face scalability limitations.…
anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding
Haitao Li, Ziyu Li, Yiheng Mao +3
The advent of multimodal large language models (MLLMs) has sparked interest in their application to electrocardiogram (ECG) analysis. However, existing ECG-focused MLLMs primarily…
Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning
Zhoujian Sun, Ziyi Liu, Cheng Luo +2
Recent advances in large language models (LLMs) have shown promising results in medical diagnosis, with some studies indicating superior performance compared to human physicians in…
De-biased Multimodal Electrocardiogram Analysis
Haitao Li, Ziyu Li, Yiheng Mao +3
Multimodal large language models (MLLMs) are increasingly being applied in the medical field, particularly in medical imaging. However, developing MLLMs for ECG signals, which are…
Conversational Disease Diagnosis via External Planner-Controlled Large Language Models
Zhoujian Sun, Cheng Luo, Ziyi Liu +1
The development of large language models (LLMs) has brought unprecedented possibilities for artificial intelligence (AI) based medical diagnosis. However, the application perspecti…
CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction
Zhoujian Sun, Wenzhuo Zhang, Zhengxing Huang +2
Non-communicable disease is the leading cause of death, emphasizing the need for accurate prediction of disease progression and informed clinical decision-making. Machine learning…
Replicating Complex Dialogue Policy of Humans via Offline Imitation Learning with Supervised Regularization
Zhoujian Sun, Chenyang Zhao, Zhengxing Huang +1
Policy learning (PL) is a module of a task-oriented dialogue system that trains an agent to make actions in each dialogue turn. Imitating human action is a fundamental problem of P…
On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools
Zhoujian Sun, Zhengxing Huang, Nai Ding
Dialogue state tracking (DST) is a component of the task-oriented dialogue system. It is responsible for extracting and managing slot values according to dialogue utterances, where…
Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs
Zhoujian Sun, Wei Dong, Jinlong Shi +1
Objective: To combine medical knowledge and medical data to interpretably predict the risk of disease. Methods: We formulated the disease prediction task as a random walk along a k…