Driven by the large foundation models, the development of artificial intelligence has witnessed tremendous progress lately, leading to a surge of general interest from the public …
M Hu, S Pan, Y Li, X Yang - arXiv preprint arXiv:2304.04920, 2023 - arxiv.org
In this paper, we aimed to provide a review and tutorial for researchers in the field of medical imaging using language models to improve their tasks at hand. We began by providing an …
In this study, we uncover the unexpected efficacy of residual-based large language models (LLMs) as part of encoders for biomedical imaging tasks, a domain traditionally devoid of …
J Deng, K Heybati, M Shammas-Toma - Clinical Imaging, 2024 - Elsevier
In November 2023, OpenAI introduced the latest iteration of ChatGPT, which integrated a novel architecture called Generative Pre-trained Transformer (GPT) 4 with vision capabilities …
In this paper, we critically evaluate the capabilities of the state-of-the-art multimodal large language model, ie, GPT-4 with Vision (GPT-4V), on Visual Question Answering (VQA) task …
Objectives This study aims to assess the performance of OpenAI's multimodal GPT-4, which can analyze both images and textual data (GPT-4V), in interpreting radiological images. It …
M Hu, J Qian, S Pan, Y Li, RLJ Qiu… - Physics in Medicine & …, 2024 - iopscience.iop.org
This review paper aims to serve as a comprehensive guide and instructional resource for researchers seeking to effectively implement language models in medical imaging research …
S Koga, W Du - Neural Regeneration Research, 2025 - journals.lww.com
Large language models (LLMs), such as ChatGPT developed by OpenAI, represent a significant advancement in artificial intelligence (AI), designed to understand, generate, and …
Z Lai, J Wu, S Chen, Y Zhou… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this study we uncover the unexpected efficacy of residual-based large language models (LLMs) as part of encoders for biomedical imaging tasks a domain traditionally devoid of …