Artificial intelligence in theranostics of gastric cancer, a review.

Medical review (Berlin, Germany) Pub Date : 2023-07-27 eCollection Date: 2023-06-01 DOI:10.1515/mr-2022-0042

Yiqian Zha, Cuili Xue, Yanlei Liu, Jian Ni, Jesus M De La Fuente, Daxiang Cui

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Abstract

Gastric cancer (GC) is one of the commonest cancers with high morbidity and mortality in the world. How to realize precise diagnosis and therapy of GC owns great clinical requirement. In recent years, artificial intelligence (AI) has been actively explored to apply to early diagnosis and treatment and prognosis of gastric carcinoma. Herein, we review recent advance of AI in early screening, diagnosis, therapy and prognosis of stomach carcinoma. Especially AI combined with breath screening early GC system improved 97.4 % of early GC diagnosis ratio, AI model on stomach cancer diagnosis system of saliva biomarkers obtained an overall accuracy of 97.18 %, specificity of 97.44 %, and sensitivity of 96.88 %. We also discuss concept, issues, approaches and challenges of AI applied in stomach cancer. This review provides a comprehensive view and roadmap for readers working in this field, with the aim of pushing application of AI in theranostics of stomach cancer to increase the early discovery ratio and curative ratio of GC patients.

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人工智能在癌症治疗中的应用综述。

癌症是世界上最常见的高发病率和高死亡率的癌症之一。如何实现GC的精确诊断和治疗对临床有很大的要求。近年来，人工智能（AI）被积极探索应用于胃癌的早期诊断、治疗和预后。在此，我们综述了人工智能在胃癌早期筛查、诊断、治疗和预后方面的最新进展。特别是AI结合呼吸筛查早期GC系统提高了97.4 % 在早期GC诊断率中，AI模型对癌症唾液生物标志物诊断系统的总体准确率为97.18 %, 特异性为97.44 %, 灵敏度为96.88 %. 我们还讨论了人工智能应用于癌症的概念、问题、方法和挑战。这篇综述为该领域的读者提供了一个全面的观点和路线图，目的是推动人工智能在癌症治疗中的应用，以提高GC患者的早期发现率和治愈率。

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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来源期刊

Medical review (Berlin, Germany)

CiteScore

1.30

自引率

0.00%

发文量