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Updated: Jan 28, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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通过新的时间依赖扩散MRI和AI增强的定量放射学解释进行前列腺癌的非侵入性检测:PROS-TD-AI.

Baltasar Ramos1, Cristian Garrido1, Paulette Narváez2

  • 1Radiology Department, Clinical Hospital of the University of Chile, University of Chile, Independencia 8380453, Chile.

Journal of imaging
|January 27, 2026
PubMed
概括

这项研究介绍了PROS-TD-AI,一种使用时间依赖扩散MRI改进前列腺癌 (PCa) 检测的人工智能工具. 它旨在提高临床显著PCa (csPCa) 的风险预测,超出目前的MRI标准.

关键词:
格里森得分 格里森得分皮拉德斯 (PI-RADS) v2.1 的版本人工智能的人工智能是人工智能.临床上显著的前列腺癌.深度学习是一种深度学习.磁共振成像技术的使用前列腺活检 活检前列腺活检

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