Gastric cancer (GC) is one of the commonestcancers with high morbidity and mortality in the world.How to realize precise diagnosis and therapy of GC ownsgreat clinical requirement. In recent years, artificial intellig...Gastric cancer (GC) is one of the commonestcancers with high morbidity and mortality in the world.How to realize precise diagnosis and therapy of GC ownsgreat clinical requirement. In recent years, artificial intelligence (AI) has been actively explored to apply to earlydiagnosis and treatment and prognosis of gastric carcinoma. Herein, we review recent advance of AI in earlyscreening, diagnosis, therapy and prognosis of stomachcarcinoma. Especially AI combined with breath screeningearly GC system improved 97.4 % of early GC diagnosisratio, AI model on stomach cancer diagnosis system of salivabiomarkers obtained an overall accuracy of 97.18 %, speci-ficity of 97.44 %, and sensitivity of 96.88 %. We also discussconcept, issues, approaches and challenges of AI applied instomach cancer. This review provides a comprehensive viewand roadmap for readers working in this field, with the aimof pushing application of AI in theranostics of stomachcancer to increase the early discovery ratio and curativeratio of GC patients.展开更多
基金the National Key Research and Development Program of China(Grant No.2017YFA0205301 and 2017YFA0205304)National Natural Science Foundation of China(Grant No.82073380,81921002,82020108017)+2 种基金National Postdoctoral Program for Innovative Talents(Grant No.BX20190205)China Postdoctoral Science Foundation(Grant No.2020M671130)Projects of Shanghai Science and Technology Commission(21DZ2203200,and No.20142201300)。
文摘Gastric cancer (GC) is one of the commonestcancers with high morbidity and mortality in the world.How to realize precise diagnosis and therapy of GC ownsgreat clinical requirement. In recent years, artificial intelligence (AI) has been actively explored to apply to earlydiagnosis and treatment and prognosis of gastric carcinoma. Herein, we review recent advance of AI in earlyscreening, diagnosis, therapy and prognosis of stomachcarcinoma. Especially AI combined with breath screeningearly GC system improved 97.4 % of early GC diagnosisratio, AI model on stomach cancer diagnosis system of salivabiomarkers obtained an overall accuracy of 97.18 %, speci-ficity of 97.44 %, and sensitivity of 96.88 %. We also discussconcept, issues, approaches and challenges of AI applied instomach cancer. This review provides a comprehensive viewand roadmap for readers working in this field, with the aimof pushing application of AI in theranostics of stomachcancer to increase the early discovery ratio and curativeratio of GC patients.
