人工智能在胃癌诊疗一体化中的应用综述
Artificial intelligence in theranostics of gastric cancer, a review.
作者信息
Zha Yiqian, Xue Cuili, Liu Yanlei, Ni Jian, De La Fuente Jesus M, Cui Daxiang
机构信息
Institute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instrument, School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
National Engineering Research Center for Nanotechnology, Shanghai, China.
出版信息
Med Rev (2021). 2023 Jul 27;3(3):214-229. doi: 10.1515/mr-2022-0042. eCollection 2023 Jun.
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.
胃癌（GC）是世界上最常见的癌症之一，发病率和死亡率都很高。如何实现胃癌的精准诊断和治疗具有重大的临床需求。近年来，人工智能（AI）已被积极探索应用于胃癌的早期诊断、治疗及预后评估。在此，我们综述了人工智能在胃癌早期筛查、诊断、治疗及预后评估方面的最新进展。特别是人工智能结合呼气筛查早期胃癌系统将早期胃癌诊断率提高到了97.4%，唾液生物标志物胃癌诊断系统的人工智能模型总体准确率为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胃癌的概念、问题、方法和挑战。本综述为该领域的读者提供了一个全面的视角和路线图，旨在推动人工智能在胃癌诊疗中的应用，以提高胃癌患者的早期发现率和治愈率。
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