Robotics & Machine Learning Daily News2024,Issue(Nov.14) :46-47.

Studies from Massachusetts General Hospital Update Current Data on Artificial In telligence (Assessing Laterality Errors In Radiology: Comparing Generative Artif icial Intelligence and Natural Language Processing)

麻省总医院的研究更新了人工智能的最新数据(评估放射学中的偏侧性错误:比较生成性人工智能和自然语言处理)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :46-47.

Studies from Massachusetts General Hospital Update Current Data on Artificial In telligence (Assessing Laterality Errors In Radiology: Comparing Generative Artif icial Intelligence and Natural Language Processing)

麻省总医院的研究更新了人工智能的最新数据(评估放射学中的偏侧性错误:比较生成性人工智能和自然语言处理)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍了人工智能的新数据。根据新闻报道来自波士顿的Research,由NewsRx记者报道,"我们比较了生成型人工智能(AI)(增强变压器辅助辐射智能)的性能[ATARI、Microsoft Nuance、Microsoft Corporati on、Redmond、Washington])和自然语言用于识别放射学报告和图像中的偏侧性错误的处理(NL P)工具。我们成功了基于nlp的(mPower,Microsoft Nuance)工具,用于识别放射学报告中是否存在横向错误其质量保证仪表板。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Artific ial Intelligence. According to news reportingoriginating from Boston, Massachus etts, by NewsRx correspondents, research stated, “We compared theperformance of generative artificial intelligence (AI) (Augmented Transformer Assisted Radiolo gy Intelligence[ATARI, Microsoft Nuance, Microsoft Corporati on, Redmond, Washington]) and natural languageprocessing (NL P) tools for identifying laterality errors in radiology reports and images. We u sed anNLP-based (mPower, Microsoft Nuance) tool to identify radiology reports f l agged for laterality errors inits Quality Assurance Dashboard.”

Key words

Boston/Massachusetts/United States/No rth and Central America/Artificial Intelligence/Emerging Technologies/Health and Medicine/Machine Learning/Natural Language Processing/Radiology/Massachu setts General Hospital

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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