In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical …
This paper presents RadOnc-GPT, a large language model specialized for radiation oncology through advanced tuning methods. RadOnc-GPT was finetuned on a large dataset …
In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …
Z Xiao, Y Chen, J Yao, L Zhang, Z Liu, Z Wu, X Yu… - Information …, 2024 - Elsevier
Prompts play a crucial role in enhancing the control, adaptability, and scalable application of large language models. In recent years, strategies involving prompts have also been …
Y Chen, Z Xiao, Y Pan, L Zhao, H Dai… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
Learning with little data is challenging but often inevitable in various application scenarios where the labeled data are limited and costly. Recently, few-shot learning (FSL) gained …
Y Liu, T Han, S Ma, J Zhang, Y Yang, J Tian, H He, A Li… - Meta, 2023 - newswise.com
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …
G Bo, W Shanshan, Z Qing, P Bo, Z Yan - IEEE Access, 2023 - ieeexplore.ieee.org
To enhance the accuracy of medical document classification, we propose an advanced deep fusion model for sorting medicine document. Specifically, we enhance text …