ChatGPT for sha** the future of dentistry: the potential of multi-modal large language model

H Huang, O Zheng, D Wang, J Yin, Z Wang… - International Journal of …, 2023 - nature.com
The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-
4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with …

Shifting machine learning for healthcare from development to deployment and from models to data

A Zhang, L **ng, J Zou, JC Wu - Nature biomedical engineering, 2022 - nature.com
In the past decade, the application of machine learning (ML) to healthcare has helped drive
the automation of physician tasks as well as enhancements in clinical capabilities and …

[HTML][HTML] A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

K He, R Mao, Q Lin, Y Ruan, X Lan, M Feng… - Information …, 2025 - Elsevier
The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

BioGPT: generative pre-trained transformer for biomedical text generation and mining

R Luo, L Sun, Y **a, T Qin, S Zhang… - Briefings in …, 2022 - academic.oup.com
Pre-trained language models have attracted increasing attention in the biomedical domain,
inspired by their great success in the general natural language domain. Among the two main …

Llms accelerate annotation for medical information extraction

A Goel, A Gueta, O Gilon, C Liu, S Erell… - … Learning for Health …, 2023 - proceedings.mlr.press
The unstructured nature of clinical notes within electronic health records often conceals vital
patient-related information, making it challenging to access or interpret. To uncover this …

A medical multimodal large language model for future pandemics

F Liu, T Zhu, X Wu, B Yang, C You, C Wang, L Lu… - NPJ Digital …, 2023 - nature.com
Deep neural networks have been integrated into the whole clinical decision procedure
which can improve the efficiency of diagnosis and alleviate the heavy workload of …

A survey of large language models in medicine: Progress, application, and challenge

H Zhou, F Liu, B Gu, X Zou, J Huang, J Wu, Y Li… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs), such as ChatGPT, have received substantial attention due
to their capabilities for understanding and generating human language. While there has …

Large models for time series and spatio-temporal data: A survey and outlook

M **, Q Wen, Y Liang, C Zhang, S Xue, X Wang… - arxiv preprint arxiv …, 2023 - arxiv.org
Temporal data, notably time series and spatio-temporal data, are prevalent in real-world
applications. They capture dynamic system measurements and are produced in vast …

An introduction to deep learning in natural language processing: Models, techniques, and tools

I Lauriola, A Lavelli, F Aiolli - Neurocomputing, 2022 - Elsevier
Abstract Natural Language Processing (NLP) is a branch of artificial intelligence that
involves the design and implementation of systems and algorithms able to interact through …

[PDF][PDF] Embracing large language models for medical applications: opportunities and challenges

M Karabacak, K Margetis - Cureus, 2023 - cureus.com
Large language models (LLMs) have the potential to revolutionize the field of medicine by,
among other applications, improving diagnostic accuracy and supporting clinical decision …