人工智能在胃癌中的作用:手术和治疗角度:综合综述。

IF 3.2 4区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Journal of Gastric Cancer Pub Date : 2023-07-01 DOI:10.5230/jgc.2023.23.e31
JunHo Lee, Hanna Lee, Jun-Won Chung
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引用次数: 0

摘要

胃癌在世界范围内的年死亡率很高,需要早期发现和准确治疗。即使是经验丰富的专家也会根据几个因素做出错误的判断。人工智能(AI)技术正在迅速发展,以协助这一领域。在这里,我们旨在确定人工智能技术如何用于胃癌诊断,并分析它如何帮助患者和外科医生。早期胃癌(EGC)的早期发现和正确治疗可大大提高生存率。为了确定这一点,重要的是准确确定病变的诊断和深度以及是否存在淋巴结转移,并建议适当的治疗方法。深度学习算法学习了胃病变内镜图像、形态特征和患者临床信息,检测胃病变具有较高的准确性、敏感性和特异性,并预测形态特征。通过此,AI辅助专家判断,帮助在内镜手术和根治性手术中选择正确的治疗方法,并帮助预测病变的切除边缘。此外,人工智能技术提高了相对缺乏经验和熟练的内镜诊断医师的诊断率。然而,用于学习的数据存在局限性,例如定量数据量不足,回顾性研究设计,单中心设计以及非各种病变的病例。然而,这种结合深度学习技术的辅助内镜诊断技术具有足够的实用性和前瞻性,可以在EGC治疗中为外科医生提供准确的治疗方案,切除病变方面发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The Role of Artificial Intelligence in Gastric Cancer: Surgical and Therapeutic Perspectives: A Comprehensive Review.

Stomach cancer has a high annual mortality rate worldwide necessitating early detection and accurate treatment. Even experienced specialists can make erroneous judgments based on several factors. Artificial intelligence (AI) technologies are being developed rapidly to assist in this field. Here, we aimed to determine how AI technology is used in gastric cancer diagnosis and analyze how it helps patients and surgeons. Early detection and correct treatment of early gastric cancer (EGC) can greatly increase survival rates. To determine this, it is important to accurately determine the diagnosis and depth of the lesion and the presence or absence of metastasis to the lymph nodes, and suggest an appropriate treatment method. The deep learning algorithm, which has learned gastric lesion endoscopyimages, morphological characteristics, and patient clinical information, detects gastric lesions with high accuracy, sensitivity, and specificity, and predicts morphological characteristics. Through this, AI assists the judgment of specialists to help select the correct treatment method among endoscopic procedures and radical resections and helps to predict the resection margins of lesions. Additionally, AI technology has increased the diagnostic rate of both relatively inexperienced and skilled endoscopic diagnosticians. However, there were limitations in the data used for learning, such as the amount of quantitatively insufficient data, retrospective study design, single-center design, and cases of non-various lesions. Nevertheless, this assisted endoscopic diagnosis technology that incorporates deep learning technology is sufficiently practical and future-oriented and can play an important role in suggesting accurate treatment plans to surgeons for resection of lesions in the treatment of EGC.

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来源期刊
Journal of Gastric Cancer
Journal of Gastric Cancer Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
4.30
自引率
12.00%
发文量
36
期刊介绍: The Journal of Gastric Cancer (J Gastric Cancer) is an international peer-reviewed journal. Each issue carries high quality clinical and translational researches on gastric neoplasms. Editorial Board of J Gastric Cancer publishes original articles on pathophysiology, molecular oncology, diagnosis, treatment, and prevention of gastric cancer as well as articles on dietary control and improving the quality of life for gastric cancer patients. J Gastric Cancer includes case reports, review articles, how I do it articles, editorials, and letters to the editor.
期刊最新文献
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