• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

人工智能在胃肠病学和肝脏病学中的应用。

Application of Artificial Intelligence to Gastroenterology and Hepatology.

机构信息

Institut des Maladies de l'Appareil Digestif, Nantes University Hospital, France; Institut National de la Santé et de la Recherche Médicale U954 and Department of Gastroenterology, Nancy University Hospital, University of Lorraine, France.

University of California San Diego, La Jolla, California.

出版信息

Gastroenterology. 2020 Jan;158(1):76-94.e2. doi: 10.1053/j.gastro.2019.08.058. Epub 2019 Oct 5.

DOI:10.1053/j.gastro.2019.08.058
PMID:31593701
Abstract

Since 2010, substantial progress has been made in artificial intelligence (AI) and its application to medicine. AI is explored in gastroenterology for endoscopic analysis of lesions, in detection of cancer, and to facilitate the analysis of inflammatory lesions or gastrointestinal bleeding during wireless capsule endoscopy. AI is also tested to assess liver fibrosis and to differentiate patients with pancreatic cancer from those with pancreatitis. AI might also be used to establish prognoses of patients or predict their response to treatments, based on multiple factors. We review the ways in which AI may help physicians make a diagnosis or establish a prognosis and discuss its limitations, knowing that further randomized controlled studies will be required before the approval of AI techniques by the health authorities.

摘要

自 2010 年以来,人工智能(AI)及其在医学领域的应用取得了重大进展。AI 技术被用于胃肠道疾病的内镜下病变分析、癌症检测,以及无线胶囊内镜检查中对炎症性病变或胃肠道出血的辅助分析。AI 还被用于评估肝纤维化,并区分胰腺癌患者和胰腺炎患者。AI 还可以基于多种因素来评估患者的预后或预测他们对治疗的反应。我们回顾了 AI 帮助医生做出诊断或建立预后的方法,并讨论了其局限性,因为在卫生当局批准 AI 技术之前,还需要进行更多的随机对照研究。

相似文献

1
Application of Artificial Intelligence to Gastroenterology and Hepatology.人工智能在胃肠病学和肝脏病学中的应用。
Gastroenterology. 2020 Jan;158(1):76-94.e2. doi: 10.1053/j.gastro.2019.08.058. Epub 2019 Oct 5.
2
Recent Applications of Artificial Intelligence in the Detection of Gastrointestinal, Hepatic and Pancreatic Diseases.人工智能在胃肠道、肝脏和胰腺疾病检测中的最新应用。
Curr Med Chem. 2022;29(1):66-85. doi: 10.2174/0929867328666210405114938.
3
Artificial intelligence in precision medicine in hepatology.人工智能在肝脏病精准医学中的应用。
J Gastroenterol Hepatol. 2021 Mar;36(3):569-580. doi: 10.1111/jgh.15415.
4
Artificial intelligence in liver disease.人工智能在肝病中的应用。
J Gastroenterol Hepatol. 2021 Mar;36(3):539-542. doi: 10.1111/jgh.15409.
5
Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology.人工智能在胃肠病学和肝病学中的应用面临的挑战和机遇。
World J Gastroenterol. 2021 Oct 7;27(37):6191-6223. doi: 10.3748/wjg.v27.i37.6191.
6
Potentials of AI in medical image analysis in Gastroenterology and Hepatology.人工智能在胃肠病学和肝病学医学影像分析中的应用潜力。
J Gastroenterol Hepatol. 2021 Jan;36(1):31-38. doi: 10.1111/jgh.15327.
7
Ultrasound-based artificial intelligence in gastroenterology and hepatology.基于超声的人工智能在胃肠病学和肝脏病学中的应用。
World J Gastroenterol. 2022 Oct 14;28(38):5530-5546. doi: 10.3748/wjg.v28.i38.5530.
8
Application of artificial intelligence in gastroenterology.人工智能在胃肠病学中的应用。
World J Gastroenterol. 2019 Apr 14;25(14):1666-1683. doi: 10.3748/wjg.v25.i14.1666.
9
Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases.人工智能在肝脏疾病诊治中的应用
Hepatology. 2021 Jun;73(6):2546-2563. doi: 10.1002/hep.31603.
10
Artificial intelligence in intestinal polyp and colorectal cancer prediction.人工智能在肠息肉和结直肠癌预测中的应用。
Cancer Lett. 2023 Jul 1;565:216238. doi: 10.1016/j.canlet.2023.216238. Epub 2023 May 19.

引用本文的文献

1
Leveraging large language and vision models for knowledge extraction from large-scale image-text colonoscopy records.利用大语言模型和视觉模型从大规模图像文本结肠镜检查记录中提取知识。
Nat Biomed Eng. 2025 Sep 16. doi: 10.1038/s41551-025-01500-x.
2
Dietary microbes and functional dyspepsia: modulating the gut microecology for therapeutic benefit.饮食中的微生物与功能性消化不良:调节肠道微生态以获得治疗益处。
Front Nutr. 2025 Aug 19;12:1625987. doi: 10.3389/fnut.2025.1625987. eCollection 2025.
3
Development and validation of a machine learning-based survival prediction model for Asian glioblastoma patients using the SEER database and Chinese data.
利用监测、流行病学和最终结果(SEER)数据库及中国数据开发并验证基于机器学习的亚洲胶质母细胞瘤患者生存预测模型
Sci Rep. 2025 Aug 24;15(1):31114. doi: 10.1038/s41598-025-15553-0.
4
A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis.一种基于MFCC特征选择和SHAP分析的性别敏感语音情感识别深度学习框架。
Sci Rep. 2025 Aug 5;15(1):28569. doi: 10.1038/s41598-025-14016-w.
5
Machine learning in the differential diagnosis of ulcerative colitis and Crohn's disease: a systematic review.机器学习在溃疡性结肠炎和克罗恩病鉴别诊断中的应用:一项系统综述
Transl Gastroenterol Hepatol. 2025 Jul 7;10:56. doi: 10.21037/tgh-24-117. eCollection 2025.
6
Artificial Intelligence in Thoracic Surgery: Transforming Diagnostics, Treatment, and Patient Outcomes.胸外科中的人工智能:变革诊断、治疗及患者预后
Diagnostics (Basel). 2025 Jul 8;15(14):1734. doi: 10.3390/diagnostics15141734.
7
Artificial intelligence in endoscopy and colonoscopy: a comprehensive bibliometric analysis of global research trends.内镜检查和结肠镜检查中的人工智能:全球研究趋势的综合文献计量分析
Front Med (Lausanne). 2025 May 30;12:1532640. doi: 10.3389/fmed.2025.1532640. eCollection 2025.
8
Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis.基于机器学习的模型预测根治性膀胱切除术后尿道复发的研究:一项多中心回顾性研究及更新的荟萃分析
Sci Rep. 2025 Jun 4;15(1):19573. doi: 10.1038/s41598-025-04893-6.
9
Efficient diagnosis for endoscopic remission in Crohn's diseases by the combination of three non-invasive markers.通过三种非侵入性标志物联合实现克罗恩病内镜缓解的高效诊断
BMC Gastroenterol. 2025 May 13;25(1):364. doi: 10.1186/s12876-025-03880-5.
10
Global Research Trends, Hotspots, Impacts, and Emergence of Artificial Intelligence and Machine Learning in Health and Medicine: A 25-Year Bibliometric Analysis.全球人工智能和机器学习在健康与医学领域的研究趋势、热点、影响及兴起:一项25年的文献计量分析
Healthcare (Basel). 2025 Apr 13;13(8):892. doi: 10.3390/healthcare13080892.