Practical guide to natural language processing for radiology

A Mozayan, AR Fabbri, M Maneevese, I Tocino… - Radiographics, 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 …

Pathasst: Redefining pathology through generative foundation ai assistant for pathology

Y Sun, C Zhu, S Zheng, K Zhang, Z Shui, X Yu… - arXiv preprint arXiv …, 2023 - arxiv.org
As advances in large language models (LLMs) and multimodal techniques continue to
mature, the development of general-purpose multimodal large language models (MLLMs) …

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 …

[HTML][HTML] The impact of ChatGPT and LLMs on medical imaging stakeholders: perspectives and use cases

J Yang, HB Li, D Wei - Meta-Radiology, 2023 - Elsevier
This study investigates the transformative potential of Large Language Models (LLMs), such
as OpenAI ChatGPT, in medical imaging. With the aid of public data, these models, which …

[HTML][HTML] A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges

A Nazir, Z Wang - Meta-radiology, 2023 - Elsevier
Abstract Large Language Models (LLMs) especially when combined with Generative Pre-
trained Transformers (GPT) represent a groundbreaking in natural language processing. In …

Exploring Boundary of GPT-4V on Marine Analysis: A Preliminary Case Study

Z Zheng, Y Chen, J Zhang, TA Vu, H Zeng… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have demonstrated a powerful ability to answer various
queries as a general-purpose assistant. The continuous multi-modal large language models …

Exploring the trade-offs: Unified large language models vs local fine-tuned models for highly-specific radiology nli task

Z Wu, L Zhang, C Cao, X Yu, H Dai, C Ma, Z Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, ChatGPT and GPT-4 have emerged and gained immense global attention due to
their unparalleled performance in language processing. Despite demonstrating impressive …

Towards general purpose vision foundation models for medical image analysis: An experimental study of DINOv2 on radiology benchmarks

M Baharoon, W Qureshi, J Ouyang, Y Xu… - arXiv preprint arXiv …, 2023 - arxiv.org
The integration of deep learning systems into the medical domain has been hindered by the
resource-intensive process of data annotation and the inability of these systems to …

Pathasst: A generative foundation ai assistant towards artificial general intelligence of pathology

Y Sun, C Zhu, S Zheng, K Zhang, L Sun… - Proceedings of the …, 2024 - ojs.aaai.org
As advances in large language models (LLMs) and multimodal techniques continue to
mature, the development of general-purpose multimodal large language models (MLLMs) …

[PDF][PDF] Radiology gets chatty: the ChatGPT saga unfolds

H Grewal, G Dhillon, V Monga, P Sharma… - Cureus, 2023 - cureus.com
As artificial intelligence (AI) continues to evolve and mature, it is increasingly finding
applications in the field of healthcare, particularly in specialties like radiology that are data …