MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis
arXiv · · Significant research
Summary
The paper introduces MedPromptX, a clinical decision support system using multimodal large language models (MLLMs), few-shot prompting (FP), and visual grounding (VG) for chest X-ray diagnosis, integrating imagery with EHR data. MedPromptX refines few-shot data dynamically for real-time adjustment to new patient scenarios and narrows the search area in X-ray images. The study introduces MedPromptX-VQA, a new visual question answering dataset, and demonstrates state-of-the-art performance with an 11% improvement in F1-score compared to baselines.
Keywords
Chest X-ray · MLLM · Few-shot prompting · Visual grounding · EHR
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