Zobrazeno 1 - 10
of 767
pro vyhledávání: '"LIU Fenglin"'
Inspired by the success of large language models (LLMs), there is growing research interest in developing LLMs in the medical domain to assist clinicians. However, for hospitals, using closed-source commercial LLMs involves privacy issues, and develo
Externí odkaz:
http://arxiv.org/abs/2409.13321
Large language models (LLMs) are emerging as promising tools for mental health care, offering scalable support through their ability to generate human-like responses. However, the effectiveness of these models in clinical settings remains unclear. Th
Externí odkaz:
http://arxiv.org/abs/2408.11288
Large Vision Language Models (LVLMs) have recently achieved superior performance in various tasks on natural image and text data, which inspires a large amount of studies for LVLMs fine-tuning and training. Despite their advancements, there has been
Externí odkaz:
http://arxiv.org/abs/2407.02730
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 47, Iss 7, Pp 531-535 (2020)
Objective To investigate Neuropilin-1 expression in Treg and PDC cells in peripheral blood of non-small cell lung cancer patients and clinical significance. Methods We collected the peripheral blood of 49 diagnosed non-small cell lung cancer patients
Externí odkaz:
https://doaj.org/article/1ebefecdec4f4e56b510a945cfe4d2f1
Autor:
Liu Fenglin
Publikováno v:
Emerging Science Journal, Vol 4, Iss 1, Pp 25-36 (2020)
The female object, as a symbolic image created by male authors to reduce the threat brought by females towards patriarchy, has become a method to express male sexual and domestic fantasies. However, in the fairy tale adaptation by two mid-twentieth c
Externí odkaz:
https://doaj.org/article/03937dbbb64141a5a4034f2afe596268
Autor:
Luo, Zhiyao, Zhu, Mingcheng, Liu, Fenglin, Li, Jiali, Pan, Yangchen, Zhou, Jiandong, Zhu, Tingting
Reinforcement learning (RL) has garnered increasing recognition for its potential to optimise dynamic treatment regimes (DTRs) in personalised medicine, particularly for drug dosage prescriptions and medication recommendations. However, a significant
Externí odkaz:
http://arxiv.org/abs/2405.18610
The adoption of large language models (LLMs) in healthcare has attracted significant research interest. However, their performance in healthcare remains under-investigated and potentially limited, due to i) they lack rich domain-specific knowledge an
Externí odkaz:
http://arxiv.org/abs/2405.11640
Autor:
Liu, Fenglin, Li, Zheng, Zhou, Hongjian, Yin, Qingyu, Yang, Jingfeng, Tang, Xianfeng, Luo, Chen, Zeng, Ming, Jiang, Haoming, Gao, Yifan, Nigam, Priyanka, Nag, Sreyashi, Yin, Bing, Hua, Yining, Zhou, Xuan, Rohanian, Omid, Thakur, Anshul, Clifton, Lei, Clifton, David A.
The adoption of large language models (LLMs) to assist clinicians has attracted remarkable attention. Existing works mainly adopt the close-ended question-answering (QA) task with answer options for evaluation. However, many clinical decisions involv
Externí odkaz:
http://arxiv.org/abs/2405.00716
Autor:
Hua, Yining, Liu, Fenglin, Yang, Kailai, Li, Zehan, Na, Hongbin, Sheu, Yi-han, Zhou, Peilin, Moran, Lauren V., Ananiadou, Sophia, Beam, Andrew, Torous, John
The integration of large language models (LLMs) in mental health care is an emerging field. There is a need to systematically review the application outcomes and delineate the advantages and limitations in clinical settings. This review aims to provi
Externí odkaz:
http://arxiv.org/abs/2401.02984
Autor:
Zhou, Hongjian, Liu, Fenglin, Gu, Boyang, Zou, Xinyu, Huang, Jinfa, Wu, Jinge, Li, Yiru, Chen, Sam S., Zhou, Peilin, Liu, Junling, Hua, Yining, Mao, Chengfeng, You, Chenyu, Wu, Xian, Zheng, Yefeng, Clifton, Lei, Li, Zheng, Luo, Jiebo, Clifton, David A.
Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a burgeoning trend in research focusing on the employment of LLMs in su
Externí odkaz:
http://arxiv.org/abs/2311.05112