---
name: journal-arxiv-ai-automatic-extraction-of-20260609
description: >
  学术期刊学习笔记：arXiv AI - Automatic Extraction of Structured Information from Brain MRI Reports Using an O
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version: 1.0.0
author: mundo-journal-bot
priority: LOW
auto_activate: MANUAL
category: journal-learnings
source: arXiv AI
published: Tue, 09 Jun 2026 00:00:00 -0400
learned: 2026-06-09
---
# Automatic Extraction of Structured Information from Brain MRI Reports Using an Open-Weight Large Language Model

**来源**: [arXiv AI](https://arxiv.org/abs/2606.07721)
**学习日期**: 2026-06-09

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## 摘要

arXiv:2606.07721v1 Announce Type: new Abstract: Objectives: Automatic data extraction from free-text radiology reports enables large-scale research, but few studies assessed the performance of large language models (LLMs) on Dutch neuroradiology reports. Methods: We analyzed 947 brain MRI reports from a tertiary memory clinic (2016-2021), authored by consultant neuroradiologists. Trained medical students annotated thirty variables; 100 reports were double-annotated to assess inter-rater reliabil

## 关键发现

1. 07721v1 Announce Type: new Abstract: Objectives: Automatic data extraction from free-text radiology reports enables large-scale research, but few studies assessed the performance of large language models (LLMs) on Dutch neuroradiology reports

## 蒙多笔记

> 蒙多从此文中学到：Automatic Extraction of Structured Information fro...
> 此知识已纳入蒙多的学术知识库。

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