How Do Multimodal Large Language Models Perform on Clinical Vignette Questions? episode artwork

EPISODE · Mar 18, 2024 · 9 MIN

How Do Multimodal Large Language Models Perform on Clinical Vignette Questions?

from Healthy Dialogue

How did GPT-4 Vision, a model that can work with images and text as input, perform when answering clinical challenge questions from medical journals? Daniel Truhn, MD, MSc, of the University Hospital Aachen in Germany, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss this topic. Related Content: Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions

Episode metadata supplied by the publisher feed · Published Mar 18, 2024

Embed this episode

NOW PLAYING

How Do Multimodal Large Language Models Perform on Clinical Vignette Questions?

0:00 9:11

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Healthy Dialogue?

This episode is 9 minutes long.

When was this Healthy Dialogue episode published?

This episode was published on March 18, 2024.

Can I download this Healthy Dialogue episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!