人工智能在胃肠内镜检查中的应用
Artificial Intelligence in Gastrointestinal Endoscopy.
作者信息
Abadir Alexander P, Ali Mohammed Fahad, Karnes William, Samarasena Jason B
机构信息
Department of Medicine, University of California Irvine, Orange, CA, USA.
Division of Gastroenterology & Hepatology, Department of Medicine, H. H. Chao Comprehensive Digestive Disease Center, University of California Irvine, Orange, CA, USA.
出版信息
Clin Endosc. 2020 Mar;53(2):132-141. doi: 10.5946/ce.2020.038. Epub 2020 Mar 30.
Artificial intelligence (AI) is rapidly integrating into modern technology and clinical practice. Although in its nascency, AI has become a hot topic of investigation for applications in clinical practice. Multiple fields of medicine have embraced the possibility of a future with AI assisting in diagnosis and pathology applications. In the field of gastroenterology, AI has been studied as a tool to assist in risk stratification, diagnosis, and pathologic identification. Specifically, AI has become of great interest in endoscopy as a technology with substantial potential to revolutionize the practice of a modern gastroenterologist. From cancer screening to automated report generation, AI has touched upon all aspects of modern endoscopy. Here, we review landmark AI developments in endoscopy. Starting with broad definitions to develop understanding, we will summarize the current state of AI research and its potential applications. With innovation developing rapidly, this article touches upon the remarkable advances in AI-assisted endoscopy since its initial evaluation at the turn of the millennium, and the potential impact these AI models may have on the modern clinical practice. As with any discussion of new technology, its limitations must also be understood to apply clinical AI tools successfully.
人工智能(AI)正在迅速融入现代技术和临床实践。尽管尚处于起步阶段,但AI已成为临床实践应用研究的热门话题。医学的多个领域都接受了未来由AI辅助诊断和病理学应用的可能性。在胃肠病学领域,AI已被作为一种辅助风险分层、诊断和病理识别的工具进行研究。具体而言,AI作为一项具有巨大潜力、能够彻底改变现代胃肠病学家诊疗方式的技术,在内镜检查中引起了极大关注。从癌症筛查到自动报告生成,AI已涉及现代内镜检查的各个方面。在此,我们回顾内镜检查中具有里程碑意义的AI进展。从宽泛的定义入手以增进理解,我们将总结AI研究的现状及其潜在应用。随着创新的迅速发展,本文探讨了自千禧之交首次评估以来AI辅助内镜检查的显著进展,以及这些AI模型可能对现代临床实践产生的潜在影响。与任何关于新技术的讨论一样,为了成功应用临床AI工具,还必须了解其局限性。