Large language model-based multi-source integration pipeline for automated diagnostic classification and zero-shot prognoses for brain tumor
Purpose: In this study, we use large language models (LLMs) to integrate information from multi-source medical reports to enhance the accuracy of automated diagnostic classification and prognosis for brain tumors. Materials and Methods: Brain MRI reports from a cohort of 426 brain tumor patients wer...
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| Main Authors: | Zhuoqi Ma, Lulu Bi, Paige Collins, Owen Leary, Maliha Imami, Zhusi Zhong, Shaolei Lu, Grayson Baird, Nikos Tapinos, Ugur Cetintemel, Harrison Bai, Jerrold Boxerman, Zhicheng Jiao |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-06-01
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| Series: | Meta-Radiology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950162825000189 |
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