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Artificial Intelligence in Gastroenterology-Walking into the Room of Little Miracles.胃肠病学中的人工智能——走进奇迹之屋。
J Clin Med. 2020 Nov 16;9(11):3675. doi: 10.3390/jcm9113675.
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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.
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Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine.人工智能：关于其在儿科干细胞与免疫细胞疗法及再生医学中潜在应用的联合叙述。
Transfus Apher Sci. 2018 Jun;57(3):422-424. doi: 10.1016/j.transci.2018.05.004. Epub 2018 May 9.
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Artificial Intelligence-Assisted Gastroenterology- Promises and Pitfalls.人工智能辅助消化内镜学：前景与挑战。
Am J Gastroenterol. 2019 Mar;114(3):422-428. doi: 10.1038/s41395-018-0268-4.
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Artificial Intelligence in Gastrointestinal Endoscopy.人工智能在胃肠内镜检查中的应用
Clin Endosc. 2020 Mar;53(2):132-141. doi: 10.5946/ce.2020.038. Epub 2020 Mar 30.
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The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine.医学成像与核医学中人工智能的现状
BJR Open. 2019 Oct 16;1(1):20190037. doi: 10.1259/bjro.20190037. eCollection 2019.
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The role of artificial intelligence in colon polyps detection.人工智能在结肠息肉检测中的作用。
Gastroenterol Hepatol Bed Bench. 2020 Summer;13(3):191-199.
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Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.人工智能的误区与真相：为何机器与深度学习不会取代介入放射科医师。
Med Oncol. 2020 Apr 3;37(5):40. doi: 10.1007/s12032-020-01368-8.
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Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective.皮肤癌诊断中的人工智能：患者视角
Front Med (Lausanne). 2020 Jun 2;7:233. doi: 10.3389/fmed.2020.00233. eCollection 2020.
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Is artificial intelligence (AI) at the doorstep of Intensive Care Units (ICU) and operating room (OR)?人工智能（AI）是否已在重症监护病房（ICU）和手术室（OR）的门口？
Anaesth Crit Care Pain Med. 2019 Aug;38(4):337-338. doi: 10.1016/j.accpm.2019.05.003. Epub 2019 May 15.
引用本文的文献
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Enteroscopy versus Video Capsule Endoscopy for Automatic Diagnosis of Small Bowel Disorders-A Comparative Analysis of Artificial Intelligence Applications.小肠镜与视频胶囊内镜在小肠疾病自动诊断中的应用——人工智能应用的比较分析
Biomedicines. 2023 Nov 7;11(11):2991. doi: 10.3390/biomedicines11112991.
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Deep-Learning and Device-Assisted Enteroscopy: Automatic Panendoscopic Detection of Ulcers and Erosions.深度学习和设备辅助小肠镜检查：自动全小肠镜下溃疡和糜烂的检测。
Medicina (Kaunas). 2023 Jan 15;59(1):172. doi: 10.3390/medicina59010172.
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Comparison of Magnifying Endoscopy with Blue Light Imaging and Narrow Band Imaging for Determining the Invasion Depth of Superficial Esophageal Squamous Cell Carcinoma by the Japanese Esophageal Society's Intrapapillary Capillary Loop Classification.日本食管学会乳头内毛细血管袢分类法下，放大内镜联合蓝光成像与窄带成像在判定早期食管鳞状细胞癌浸润深度中的比较
Diagnostics (Basel). 2021 Oct 20;11(11):1941. doi: 10.3390/diagnostics11111941.
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A Flavor of the Future of GI Endoscopy-New Solutions Shape the Field of Modern Gastrointestinal Care.胃肠内镜检查的未来展望——新解决方案塑造现代胃肠护理领域
Cancers (Basel). 2021 Jun 16;13(12):3007. doi: 10.3390/cancers13123007.
本文引用的文献
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Development of Machine Learning Model to Predict the 5-Year Risk of Starting Biologic Agents in Patients with Inflammatory Bowel Disease (IBD): K-CDM Network Study.用于预测炎症性肠病（IBD）患者开始使用生物制剂的5年风险的机器学习模型的开发：K-CDM网络研究。
J Clin Med. 2020 Oct 26;9(11):3427. doi: 10.3390/jcm9113427.
2
Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer.人工智能在结直肠癌筛查与诊断中的应用范围
J Clin Med. 2020 Oct 15;9(10):3313. doi: 10.3390/jcm9103313.
3
Frontiers of Robotic Gastroscopy: A Comprehensive Review of Robotic Gastroscopes and Technologies.机器人胃镜前沿：机器人胃镜及技术的全面综述
Cancers (Basel). 2020 Sep 28;12(10):2775. doi: 10.3390/cancers12102775.
4
Artificial intelligence-assisted endoscopy changes the definition of mucosal healing in ulcerative colitis.人工智能辅助内镜改变了溃疡性结肠炎黏膜愈合的定义。
Dig Endosc. 2021 Sep;33(6):903-911. doi: 10.1111/den.13825. Epub 2020 Oct 8.
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Prediction of Adverse Events in Stable Non-Variceal Gastrointestinal Bleeding Using Machine Learning.使用机器学习预测稳定型非静脉曲张性胃肠道出血的不良事件
J Clin Med. 2020 Aug 11;9(8):2603. doi: 10.3390/jcm9082603.
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Returning to digestive endoscopy normality will be slow and must include novelty and telemedicine.恢复消化内镜检查的正常状态将是缓慢的，且必须包含创新和远程医疗。
Dig Liver Dis. 2020 Oct;52(10):1099-1101. doi: 10.1016/j.dld.2020.05.048. Epub 2020 Jun 19.
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Information Overload and Infodemic in the COVID-19 Pandemic.2019年冠状病毒病大流行中的信息过载与信息疫情
J Pak Med Assoc. 2020 May;70(Suppl 3)(5):S162-S165. doi: 10.5455/JPMA.38.
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Frontiers of Robotic Colonoscopy: A Comprehensive Review of Robotic Colonoscopes and Technologies.机器人结肠镜检查前沿：机器人结肠镜及技术的全面综述
J Clin Med. 2020 May 31;9(6):1648. doi: 10.3390/jcm9061648.
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Automated Classification of Colorectal Neoplasms in White-Light Colonoscopy Images via Deep Learning.通过深度学习实现白光结肠镜图像中大肠肿瘤的自动分类
J Clin Med. 2020 May 24;9(5):1593. doi: 10.3390/jcm9051593.
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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.
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