Back to search

Article

Evaluating General Vision-Language Models for Clinical Medicine

2024-04-14

Abstract excerpt

Recently emerging large multimodal models (LMMs) utilize various types of data modalities, including text and visual inputs to generate outputs. The incorporation of LMMs into clinical medicine presents unique challenges, including accuracy, reliability, and clinical relevance. Here, we explore clinical applications of GPT-4V, an LMM that has been proposed for use in medicine, in gastroenterology, radiology, derma...

Topics

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

Identifiers and source

Literature Corpus work
be587f8e-ffc6-56a6-9ce2-b91c0783922d
DOI
10.1101/2024.04.12.24305744
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.
Evaluating General Vision-Language Models for Clinical MedicineDOI 10.1101/2024.04.12.24305744
Select a neighboring publication to make it the new centre.