用于医学诊断的 LLM 中的视觉-文本整合:定量分析

Reem Agbareia, Mahmud Omar, Shelly Soffer, Benjamin S Glicksberg, Girish N Nadkarni, Eyal Klang
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摘要

背景和目的 来自图像的视觉数据对许多医疗诊断至关重要。本研究评估了多模态大语言模型(LLM)在整合文本和视觉信息用于诊断方面的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual-Textual Integration in LLMs for Medical Diagnosis: A Quantitative Analysis
Background and Aim Visual data from images is essential for many medical diagnoses. This study evaluates the performance of multimodal Large Language Models (LLMs) in integrating textual and visual information for diagnostic purposes.
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