Practical guide to natural language processing for radiology

A Mozayan, AR Fabbri, M Maneevese, I Tocino… - …, 2021 - pubs.rsna.org
Natural language processing (NLP) is the subset of artificial intelligence focused on the
computer interpretation of human language. It is an invaluable tool in the analysis …

Survey on natural language processing in medical image analysis.

Z Liu, M He, Z Jiang, Z Wu, H Dai, L Zhang… - Zhong nan da xue …, 2022 - europepmc.org
自然语言处理和医学影像的发展使深度学习模型能够在各种领域和各种数据模态中表现出出色
的通用性. 这些进步不仅加深了对数据的理解, 而且促进了学界对最先进架构及其前景的认识 …

Tailoring large language models to radiology: A preliminary approach to llm adaptation for a highly specialized domain

Z Liu, A Zhong, Y Li, L Yang, C Ju, Z Wu, C Ma… - … Workshop on Machine …, 2023 - Springer
In this preliminary work, we present a domain fine-tuned LLM model for radiology, an
experimental large language model adapted for radiology. This model, created through an …

From text to image: challenges in integrating vision into ChatGPT for medical image interpretation

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 …

Natural language processing in radiology: a systematic review

E Pons, LMM Braun, MGM Hunink, JA Kors - Radiology, 2016 - pubs.rsna.org
Radiological reporting has generated large quantities of digital content within the electronic
health record, which is potentially a valuable source of information for improving clinical care …

The imperative for regulatory oversight of large language models (or generative AI) in healthcare

B Meskó, EJ Topol - NPJ digital medicine, 2023 - nature.com
The rapid advancements in artificial intelligence (AI) have led to the development of
sophisticated large language models (LLMs) such as GPT-4 and Bard. The potential …

Cxr-llava: Multimodal large language model for interpreting chest x-ray images

S Lee, J Youn, M Kim, SH Yoon - arXiv preprint arXiv:2310.18341, 2023 - arxiv.org
Purpose: Recent advancements in large language models (LLMs) have expanded their
capabilities in a multimodal fashion, potentially replicating the image interpretation of human …

Radiology in the era of large language models: the near and the dark side of the moon

P López-Úbeda, T Martín-Noguerol, A Luna - European Radiology, 2023 - Springer
Recently, the interest in GPT-3, ChatGPT, GPT-4 (OpenAI), and similar large language
models (PaLM/LaMDA from Google or open-source alternatives like LLaMA and Alpaca) …

Chatbots and large language models in radiology: a practical primer for clinical and research applications

R Bhayana - Radiology, 2024 - pubs.rsna.org
Although chatbots have existed for decades, the emergence of transformer-based large
language models (LLMs) has captivated the world through the most recent wave of artificial …

[HTML][HTML] Updated primer on generative artificial intelligence and large language models in medical imaging for medical professionals

K Kim, K Cho, R Jang, S Kyung, S Lee… - Korean Journal of …, 2024 - ncbi.nlm.nih.gov
Abstract The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot
developed by OpenAI, has garnered interest in the application of generative artificial …