A comprehensive survey of large language models and multimodal large language models in medicine

H **ao, F Zhou, X Liu, T Liu, Z Li, X Liu, X Huang - Information Fusion, 2024 - Elsevier
Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal
large language models (MLLMs) have attracted widespread attention for their exceptional …

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey

Q Lin, Y Zhu, X Mei, L Huang, J Ma, K He, Z Peng… - Information …, 2024 - Elsevier
The rapid development of artificial intelligence has constantly reshaped the field of
intelligent healthcare and medicine. As a vital technology, multimodal learning has …

From text to multimodality: Exploring the evolution and impact of large language models in medical practice

Q Niu, K Chen, M Li, P Feng, Z Bi, LKQ Yan… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) have rapidly evolved from text-based systems to
multimodal platforms, significantly impacting various sectors including healthcare. This …

A perspective for adapting generalist ai to specialized medical ai applications and their challenges

Z Wang, H Wang, B Danek, Y Li, C Mack… - arxiv preprint arxiv …, 2024 - arxiv.org
The integration of Large Language Models (LLMs) into medical applications has sparked
widespread interest across the healthcare industry, from drug discovery and development to …

An AI Agent for Fully Automated Multi‐Omic Analyses

J Zhou, B Zhang, G Li, X Chen, H Li, X Xu… - Advanced …, 2024 - Wiley Online Library
With the fast‐growing and evolving omics data, the demand for streamlined and adaptable
tools to handle bioinformatics analysis continues to grow. In response to this need …

[HTML][HTML] Exploring the Role of Large Language Models in Melanoma: A Systematic Review

M Zarfati, GN Nadkarni, BS Glicksberg… - Journal of Clinical …, 2024 - mdpi.com
Objective: This systematic review evaluates the current applications, advantages, and
challenges of large language models (LLMs) in melanoma care. Methods: A systematic …

Generative ai in medicine

D Shanmugam, M Agrawal, R Movva, IY Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
The increased capabilities of generative AI have dramatically expanded its possible use
cases in medicine. We provide a comprehensive overview of generative AI use cases for …

Investigating the quality of dermamnist and fitzpatrick17k dermatological image datasets

K Abhishek, A Jain, G Hamarneh - Scientific Data, 2025 - nature.com
The remarkable progress of deep learning in dermatological tasks has brought us closer to
achieving diagnostic accuracies comparable to those of human experts. However, while …

ChatExosome: An Artificial Intelligence (AI) Agent Based on Deep Learning of Exosomes Spectroscopy for Hepatocellular Carcinoma (HCC) Diagnosis

Z Yang, T Tian, J Kong, H Chen - Analytical Chemistry, 2025 - ACS Publications
Large language models (LLMs) hold significant promise in the field of medical diagnosis.
There are still many challenges in the direct diagnosis of hepatocellular carcinoma (HCC). α …

Evaluating and Advancing Large Language Models for Water Knowledge Tasks in Engineering and Research

B Xu, Z Li, Y Yang, G Wu, C Wang, X Tang… - … & Technology Letters, 2025 - ACS Publications
Although large language models (LLMs) have demonstrated significant value in numerous
fields, there remains limited research on evaluating their performance or enhancing their …