Artificial intelligence in theranostics of gastric cancer, a review

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

doi:10.1515/mr-2022-0042

Artificial intelligence in theranostics of gastric cancer, a review

Med Rev (2021). 2023 Jul 27;3(3):214-229. doi: 10.1515/mr-2022-0042. eCollection 2023 Jun.

Authors

Yiqian Zha^{1

2}, Cuili Xue^{1

2}, Yanlei Liu^{1

2}, Jian Ni^{1

2}, Jesus M De La Fuente³, Daxiang Cui^{1

2}

Affiliations

¹ 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.
² National Engineering Research Center for Nanotechnology, Shanghai, China.
³ Institute of Aragon Nanoscience, University of Zaragoza, Zaragoza, Spain.

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.

Keywords: artificial intelligence; diagnosis; gastric cancer; prognosis; screening; therapy.

Publication types

Review