2 papers
eess.IV2024
Utility of Multimodal Large Language Models in Analyzing Chest X-ray with Incomplete Contextual Information
Choonghan Kim, Seonhee Cho, Joo Heung Yoon
Background: Large language models (LLMs) are gaining use in clinical settings, but their performance can suffer with incomplete radiology reports. We tested whether multimodal LLMs…
cs.CL2024
Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model
Seonhee Cho, Choonghan Kim, Jiho Lee +3
Recent advancements in Large Multimodal Models (LMMs) have attracted interest in their generalization capability with only a few samples in the prompt. This progress is particularl…