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本文引用的文献

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Assessing the diagnostic accuracy of ChatGPT-4 in the histopathological evaluation of liver fibrosis in MASH.评估ChatGPT-4在MASH肝纤维化组织病理学评估中的诊断准确性。
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2
Automated identification of incidental hepatic steatosis on Emergency Department imaging using large language models.使用大语言模型在急诊科影像上自动识别偶然发现的肝脂肪变性
Hepatol Commun. 2025 Feb 19;9(3). doi: 10.1097/HC9.0000000000000638. eCollection 2025 Mar 1.
3
Brief Review and Primer of Key Terminology for Artificial Intelligence and Machine Learning in Hypertension.高血压人工智能与机器学习关键术语简述及入门指南
Hypertension. 2025 Jan;82(1):26-35. doi: 10.1161/HYPERTENSIONAHA.123.22347. Epub 2024 Jul 16.
4
Identification of hepatic steatosis among persons with and without HIV using natural language processing.利用自然语言处理技术识别有和无 HIV 感染者的肝脂肪变性。
Hepatol Commun. 2024 Jun 19;8(7). doi: 10.1097/HC9.0000000000000468. eCollection 2024 Jul 1.
5
A natural language processing algorithm accurately classifies steatotic liver disease pathology to estimate the risk of cirrhosis.一种自然语言处理算法可以准确地对脂肪性肝病的病理学进行分类，以估计肝硬化的风险。
Hepatol Commun. 2024 Mar 29;8(4). doi: 10.1097/HC9.0000000000000403. eCollection 2024 Apr 1.
6
AASLD Practice Guideline on imaging-based noninvasive liver disease assessment of hepatic fibrosis and steatosis.美国肝病研究学会关于基于成像的肝纤维化和脂肪变性非侵入性肝病评估的实践指南。
Hepatology. 2025 Feb 1;81(2):672-724. doi: 10.1097/HEP.0000000000000843. Epub 2024 Mar 15.
7
A global research priority agenda to advance public health responses to fatty liver disease.推进应对脂肪肝疾病的公共卫生措施的全球研究优先事项议程
J Hepatol. 2023 Sep;79(3):618-634. doi: 10.1016/j.jhep.2023.04.035. Epub 2023 Jun 20.
8
AASLD Practice Guidance on the clinical assessment and management of nonalcoholic fatty liver disease.美国肝病研究学会非酒精性脂肪性肝病临床评估与管理实践指南
Hepatology. 2023 May 1;77(5):1797-1835. doi: 10.1097/HEP.0000000000000323. Epub 2023 Mar 17.
9
AGA Clinical Practice Update on Screening and Surveillance for Hepatocellular Carcinoma in Patients With Nonalcoholic Fatty Liver Disease: Expert Review.AGA 临床实践更新：非酒精性脂肪性肝病患者肝细胞癌的筛查和监测：专家综述。
Gastroenterology. 2020 May;158(6):1822-1830. doi: 10.1053/j.gastro.2019.12.053. Epub 2020 Jan 30.

Emerging applications of natural language processing for the identification of steatotic liver disease.

作者信息

Kyalwazi Beverly, Louissaint Jeremy

机构信息

Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.

Department of Internal Medicine, Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, Texas, USA.

出版信息

Hepatol Commun. 2025 Jul 14;9(8). doi: 10.1097/HC9.0000000000000774. eCollection 2025 Aug 1.

DOI:10.1097/HC9.0000000000000774
PMID:40658802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12263065/
Abstract
摘要