The article introduces the M3FM model, emphasizing its ability to synergize multimodal data for diverse clinical tasks, particularly in chest CT imaging. By curating a comprehensive dataset of 163,725 3D chest CT exams and applying a multimodal question-answering framework, M3FM outperforms single-modality models. The model can identify informative data elements relevant to specific clinical tasks and adapt to new tasks with small datasets. It handles different combinations of incomplete multimodal datasets and high-dimensional medical images effectively. The study highlights the importance of AI models in healthcare and aims to improve precision medicine through advanced technology.
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by Chuang Niu,Q... um arxiv.org 03-14-2024
https://arxiv.org/pdf/2304.02649.pdfTiefere Fragen