2024
DOI: 10.1038/s41467-024-50043-3
|View full text |Cite
|
Sign up to set email alerts
|

Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4

Juexiao Zhou,
Xiaonan He,
Liyuan Sun
et al.

Abstract: Large language models (LLMs) are seen to have tremendous potential in advancing medical diagnosis recently, particularly in dermatological diagnosis, which is a very important task as skin and subcutaneous diseases rank high among the leading contributors to the global burden of nonfatal diseases. Here we present SkinGPT-4, which is an interactive dermatology diagnostic system based on multimodal large language models. We have aligned a pre-trained vision transformer with an LLM named Llama-2-13b-chat by colle… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2025
2025

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
references
References 64 publications
0
0
0
Order By: Relevance