Back to search

Article

Resource-efficient medical vision language model for dermatology via a synthetic data generation framework

2025-05-18

Abstract excerpt

Vision-language models (VLMs), with their ability to integrate visual and textual information, have enabled unified and interpretable multimodal reasoning. However, developing explainable, image-based artificial intelligence (AI) systems for medicine requires locally deployable models designed to ensure privacy-preserving data workflows. Here, we present SCALEMED (Scalable Clinical Assistants and LEarning for MEDi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7b867f61-8ac7-5bc7-ab21-08db1e619fcb
DOI
10.1101/2025.05.17.25327785
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Resource-efficient medical vision language model for dermatology via a synthetic data generation frameworkDOI 10.1101/2025.05.17.25327785
Select a neighboring publication to make it the new centre.