Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, United States.
World J Gastroenterol. 2020 Dec 14;26(46):7287-7298. doi: 10.3748/wjg.v26.i46.7287.
Artificial intelligence (AI) is a combination of different technologies that enable machines to sense, comprehend, and learn with human-like levels of intelligence. AI technology will eventually enhance human capability, provide machines genuine autonomy, and reduce errors, and increase productivity and efficiency. AI seems promising, and the field is full of invention, novel applications; however, the limitation of machine learning suggests a cautious optimism as the right strategy. AI is also becoming incorporated into medicine to improve patient care by speeding up processes and achieving greater accuracy for optimal patient care. AI using deep learning technology has been used to identify, differentiate catalog images in several medical fields including gastrointestinal endoscopy. The gastrointestinal endoscopy field involves endoscopic diagnoses and prognostication of various digestive diseases using image analysis with the help of various gastrointestinal endoscopic device systems. AI-based endoscopic systems can reliably detect and provide crucial information on gastrointestinal pathology based on their training and validation. These systems can make gastroenterology practice easier, faster, more reliable, and reduce inter-observer variability in the coming years. However, the thought that these systems will replace human decision making replace gastrointestinal endoscopists does not seem plausible in the near future. In this review, we discuss AI and associated various technological terminologies, evolving role in gastrointestinal endoscopy, and future possibilities.
人工智能（AI）是多种技术的结合，使机器能够具有类似于人类的感知、理解和学习能力。AI 技术最终将增强人类的能力，为机器提供真正的自主性，并减少错误，提高生产力和效率。人工智能似乎很有前途，该领域充满了发明和新颖的应用；然而，机器学习的局限性表明，谨慎乐观是正确的策略。人工智能也被应用于医学领域，以通过加速流程和提高最佳患者护理的准确性来改善患者护理。人工智能使用深度学习技术已被用于识别和区分包括胃肠内窥镜检查在内的多个医学领域的图像目录。胃肠内窥镜检查领域涉及使用各种胃肠内窥镜设备系统进行图像分析来进行内窥镜诊断和各种消化疾病的预后。基于人工智能的内窥镜系统可以根据其训练和验证可靠地检测和提供有关胃肠道病理的重要信息。这些系统可以使胃肠病学实践在未来几年变得更加容易、快速、可靠，并减少观察者间的差异。然而，这些系统将取代人类决策的想法，似乎在不久的将来不太可能取代胃肠内窥镜医生。在这篇综述中，我们讨论了人工智能及其相关的各种技术术语，以及它在胃肠内窥镜检查中的不断发展的作用和未来的可能性。
