Department of Internal Medicine, Fu Jen Catholic University Hospital, New Taipei City, Taiwan.
Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
J Gastroenterol Hepatol. 2021 Feb;36(2):267-272. doi: 10.1111/jgh.15403.
Artificial intelligence (AI) based on deep learning boosted medical research in the past years and is expected to enormously change the style of health care in many aspects in the foreseeable future. Nowadays, there are exploding volumes of healthcare-related data being generated daily. Because of its time-sensitive characteristics, being able to process large amounts of data in real-time fashion is crucial in healthcare settings. In gastroenterology practice, AI can manage and interpret the sheer amount of data with different formats coming from a myriad of sources, including currently used endoscopic or imaging devices, digital record systems, and electronic health records, or from other sources such as governmental databases, social media, or wearable devices over a long period. Traditional gastroenterology is nowadays beginning to transform to a new personalized, predictive, and preventive paradigm. Evidence-based practices and recent studies are coming out every day, and big data-based approaches and the progress in basic sciences and its emerging applications are now becoming the indispensable part of precision medicine. In gastroenterology, AI can be applied in disease diagnosis, treatment guidance, outcome prediction, and reducing workload of the healthcare staff. As the healthcare community begins to embrace AI technology, how to seamlessly construct an interoperable platform to accommodate data with high variety and veracity with high velocity and implement AI in the clinical workflow would be the future challenges.
人工智能（AI）基于深度学习在过去几年中推动了医学研究，并有望在可预见的未来在许多方面极大地改变医疗保健的方式。如今，每天都会产生大量与医疗保健相关的数据。由于其具有时间敏感性的特点，能够实时处理大量数据在医疗保健环境中至关重要。在胃肠病学实践中，人工智能可以管理和解释来自各种来源的大量不同格式的数据，包括当前使用的内镜或成像设备、数字记录系统和电子健康记录，或来自政府数据库、社交媒体或可穿戴设备等其他来源的信息。传统的胃肠病学现在开始向新的个性化、预测性和预防性模式转变。基于循证的实践和最近的研究每天都在出现，基于大数据的方法以及基础科学的进展及其新兴应用现在已成为精准医学不可或缺的一部分。在胃肠病学中，人工智能可应用于疾病诊断、治疗指导、预后预测和减轻医护人员的工作量。随着医疗保健界开始接受人工智能技术，如何无缝构建一个可互操作的平台来适应具有高多样性和真实性的数据，同时实现高速率，并将人工智能应用于临床工作流程，将是未来的挑战。
