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あらすじ・解説
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Summary
The study introduces ELIXR, a novel multimodal artificial intelligence system for chest X-ray analysis. ELIXR combines large language models (LLMs) and radiology vision encoders, achieving state-of-the-art performance in zero-shot and data-efficient classification, semantic search, visual question answering, and report quality assurance. This approach leverages readily available image-text pairs, reducing reliance on expensive expert-labeled data. The modular design allows for adaptability to various tasks and LLMs, making it a potentially versatile tool for radiology and beyond. Key results demonstrate significant improvements over existing methods, particularly in data efficiency.