摘要
一位新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑在一份新的报告中讨论了人工智能的研究结果。根据NewsRx编辑在纽黑文Connect ICUT的新闻报道，研究表明，“DO NOR肝脏严重大泡性脂肪变性与原发性移植物功能障碍有关。班夫肝移植病理学工作组提出了供肝活检标本脂肪变性评估的建议，并一致认为‘大滴脂肪’(LDF)和三步算法方法。”我们的新闻记者从耶鲁大学医学院的研究中获得了一句话：“我们检索了2010年至2021年间肝脏移植活检标本的切片和初步病理报告。在Banff APPRO ACH之后，我们重新评估了LDF脂肪变性，并使用计算机辅助手工鉴定协议和人工智能(AI)模型进行分析。在88名供体的113张切片中，根据BANFF建议，随后的病理评估显示所有切片的LDF低于33%，这一点通过计算机辅助手工量化和AI模型得到证实。病理学家和计算机辅助手工量化之间的相关系数，计算机辅助人工定量与AI模型之间的差值分别为0.94、0.88和0.81(P<.0001)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Artificial Intelligence are discussed in a new report. According to news reporting out of New Haven, Connect icut, by NewsRx editors, research stated, “Severe macrovesicular steatosis in do nor livers is associated with primary graft dysfunction. The Banff Working Group on Liver Allograft Pathology has proposed recommendations for steatosis assessm ent of donor liver biopsy specimens with a consensus for defining ‘large droplet fat’ (LDF) and a 3-step algorithmic approach.” Our news journalists obtained a quote from the research from the Yale University School of Medicine, “We retrieved slides and initial pathology reports from pot ential liver donor biopsy specimens from 2010 to 2021. Following the Banff appro ach, we reevaluated LDF steatosis and employed a computer-assisted manual quanti fication protocol and artificial intelligence (AI) model for analysis. In a tota l of 113 slides from 88 donors, no to mild (<33% ) macrovesicular steatosis was reported in 88.5% (100/113) of slid es; 8.8% (10/113) was reported as at least moderate steatosis (> = 33%) initially. Subsequent pathology evaluation, following the Ba nff recommendation, revealed that all slides had LDF below 33%, a f inding confirmed through computer-assisted manual quantification and an AI model . Correlation coefficients between pathologist and computer-assisted manual quan tification, between computer-assisted manual quantification and the AI model, an d between the AI model and pathologist were 0.94, 0.88, and 0.81, respectively ( P <.0001 for all). The 3-step approach proposed by the Ban ff Working Group on Liver Allograft Pathology may be followed when evaluating st eatosis in donor livers.”
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