AI-based tool for scoring MASH histology

IF 45.9 1区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY Nature Reviews Gastroenterology &Hepatology Pub Date : 2024-09-06 DOI:10.1038/s41575-024-00987-0
Jordan Hindson
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基于人工智能的 MASH 组织学评分工具
在发表于《自然医学》(Nature Medicine)的一项研究中,研究人员报告了一种基于人工智能(AI)的数字病理学工具,用于对代谢功能障碍相关性脂肪性肝炎(MASH,以前称为非酒精性脂肪性肝炎(NASH))组织学进行评分。MASH 临床试验的入组和终点评估均基于组织学标准。该工具被称为 AIM-MASH,它对脂肪变性等级和纤维化分期的预测结果与 MASH 临床研究网络共识的分级和分期结果相当。该工具的目的是减少对试验结果解释的可变性,提高评分系统的灵敏度,并协助病理学家对 MASH 临床试验进行组织学审查。
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来源期刊
CiteScore
52.30
自引率
0.60%
发文量
147
审稿时长
6-12 weeks
期刊介绍: Nature Reviews Gastroenterology & Hepatology aims to serve as the leading resource for Reviews and commentaries within the scientific and medical communities it caters to. The journal strives to maintain authority, accessibility, and clarity in its published articles, which are complemented by easily understandable figures, tables, and other display items. Dedicated to providing exceptional service to authors, referees, and readers, the editorial team works diligently to maximize the usefulness and impact of each publication. The journal encompasses a wide range of content types, including Research Highlights, News & Views, Comments, Reviews, Perspectives, and Consensus Statements, all pertinent to gastroenterologists and hepatologists. With its broad scope, Nature Reviews Gastroenterology & Hepatology ensures that its articles reach a diverse audience, aiming for the widest possible dissemination of valuable information. Nature Reviews Gastroenterology & Hepatology is part of the Nature Reviews portfolio of journals.
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