人工智能在胃癌影像学中的应用进展

The application progress of artificial intelligence in gastric cancer imaging

胃癌作为一种常见的恶性肿瘤,是我国癌症相关的主要死因之一。无创的精确诊断和评估,是制订最佳诊疗方案的基础。人工智能(artificial intelligence,AI)技术,特别是影像组学和深度学习技术,为影像学与胃癌临床诊疗的学科交叉带来新的研究热点。如今,AI技术能够将影像图像转换为海量的影像组学数据,已广泛应用于胃癌影像学研究领域。本文系统地回顾了AI技术应用在胃癌影像学研究的技术步骤、临床应用,提出研究中的挑战和机遇。

Gastric cancer(GC)is one of the most common cancers and one of the leading causes of cancer-related death in China.The non-invasive accurate diagnosis is fundamental to optimal therapeutic decision-making.Artificial intelligence(AI)techniques,particularly radiomics and deep learning,have brought new research hotspots in interdisciplinary of imaging and gastric cancer diagnosis and treatment.AI has been used widely in GC research,because of its ability to convert medical images into minable data and to detect invisible textures.In this article,we systematically reviewed the methodological processes and current clinical applications involved in AI.Challenges and opportunities in AI-based GC research are highlighted.