用CT检测外伤性颅内出血的人工智能：一个面向工作流程的实现。

IF 0.8 Q4 NEUROIMAGING

Neuroradiology Journal Pub Date : 2025-06-03 DOI:10.1177/19714009251346477

Selim Abed, Klaus Hergan, Johannes Pfaff, Jan Dörrenberg, Lucas Brandstetter, Johann Gradl

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引用次数: 0

摘要

本研究的目的是评估人工智能（AI）算法在非对比CT扫描（NCCT）上检测颅内出血（ICHs）的性能。另一个目标是衡量该部门对上述算法的接受程度。在实施后3个月和9个月进行的调查显示，随着性能的提高，放射科医生对人工智能工具的接受程度有所提高。然而，考虑到相当的费用，很大一部分人仍然倾向于额外的医生。我们的发现强调了在健壮的IT体系结构中谨慎的软件实现的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Artificial intelligence for detecting traumatic intracranial haemorrhage with CT: A workflow-oriented implementation.

The objective of this study was to assess the performance of an artificial intelligence (AI) algorithm in detecting intracranial haemorrhages (ICHs) on non-contrast CT scans (NCCT). Another objective was to gauge the department's acceptance of said algorithm. Surveys conducted at three and nine months post-implementation revealed an increase in radiologists' acceptance of the AI tool with an increasing performance. However, a significant portion still preferred an additional physician given comparable cost. Our findings emphasize the importance of careful software implementation into a robust IT architecture.

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来源期刊

Neuroradiology Journal NEUROIMAGING-

CiteScore

2.50

自引率

0.00%

发文量

101

期刊介绍： NRJ - The Neuroradiology Journal (formerly Rivista di Neuroradiologia) is the official journal of the Italian Association of Neuroradiology and of the several Scientific Societies from all over the world. Founded in 1988 as Rivista di Neuroradiologia, of June 2006 evolved in NRJ - The Neuroradiology Journal. It is published bimonthly.