3 papers
cs.CL2024
Predicting Lung Cancer Patient Prognosis with Large Language Models
Danqing Hu, Bing Liu, Xiang Li +2
Prognosis prediction is crucial for determining optimal treatment plans for lung cancer patients. Traditionally, such predictions relied on models developed from retrospective pati…
cs.CL2024
The Power of Combining Data and Knowledge: GPT-4o is an Effective Interpreter of Machine Learning Models in Predicting Lymph Node Metastasis of Lung Cancer
Danqing Hu, Bing Liu, Xiaofeng Zhu +1
Lymph node metastasis (LNM) is a crucial factor in determining the initial treatment for patients with lung cancer, yet accurate preoperative diagnosis of LNM remains challenging.…
cs.CL2024
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…