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Updated: Feb 3, 2026

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高精度但低可解释性:XAI在多发性硬化症评估中的挑战来自MRI放射学报告

Teodoro Martín-Noguerol1, Pilar López-Úbeda2, Jorge Escartin3

  • 1MRI unit, Radiology department. HT medica, Jaén, SPAIN.

Seminars in ultrasound, CT, and MR
|February 1, 2026
PubMed
概括

这项研究开发了一种自然语言处理 (NLP) 工具,以准确检测MRI报告中的多发性硬化症 (MS) 进展和活跃病变. 虽然准确,该工具的工具.

关键词:
人工智能的人工智能是人工智能.可以解释性的解释性.多发性硬化症多发性硬化症放射学报告 放射学报告

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