Kim Kyung Won, Huh Jimi, Urooj Bushra, Lee Jeongjin, Lee Jinseok, Lee In-Seob, Park Hyesun, Na Seongwon, Ko Yousun
Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Department of Radiology, Ajou University School of Medicine, Suwon, Korea.
J Gastric Cancer. 2023 Jul;23(3):388-399. doi: 10.5230/jgc.2023.23.e30.
Gastric cancer remains a significant global health concern, coercing the need for advancements in imaging techniques for ensuring accurate diagnosis and effective treatment planning. Artificial intelligence (AI) has emerged as a potent tool for gastric-cancer imaging, particularly for diagnostic imaging and body morphometry. This review article offers a comprehensive overview of the recent developments and applications of AI in gastric cancer imaging. We investigated the role of AI imaging in gastric cancer diagnosis and staging, showcasing its potential to enhance the accuracy and efficiency of these crucial aspects of patient management. Additionally, we explored the application of AI body morphometry specifically for assessing the clinical impact of gastrectomy. This aspect of AI utilization holds significant promise for understanding postoperative changes and optimizing patient outcomes. Furthermore, we examine the current state of AI techniques for the prognosis of patients with gastric cancer. These prognostic models leverage AI algorithms to predict long-term survival outcomes and assist clinicians in making informed treatment decisions. However, the implementation of AI techniques for gastric cancer imaging has several limitations. As AI continues to evolve, we hope to witness the translation of cutting-edge technologies into routine clinical practice, ultimately improving patient care and outcomes in the fight against gastric cancer.
胃癌仍然是一个重大的全球健康问题,这促使人们需要改进成像技术,以确保准确诊断和有效的治疗规划。人工智能(AI)已成为胃癌成像的有力工具,特别是在诊断成像和身体形态测量方面。这篇综述文章全面概述了人工智能在胃癌成像中的最新发展和应用。我们研究了人工智能成像在胃癌诊断和分期中的作用,展示了其在提高患者管理这些关键方面的准确性和效率方面的潜力。此外,我们探讨了人工智能身体形态测量在评估胃切除术临床影响方面的应用。人工智能在这方面的应用对于理解术后变化和优化患者预后具有重大前景。此外,我们研究了用于预测胃癌患者预后的人工智能技术的现状。这些预后模型利用人工智能算法预测长期生存结果,并协助临床医生做出明智的治疗决策。然而,人工智能技术在胃癌成像中的应用存在一些局限性。随着人工智能的不断发展,我们希望看到前沿技术转化为常规临床实践,最终在抗击胃癌中改善患者护理和治疗结果。