Artificial intelligence in theranostics of gastric cancer, a review
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 a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2023-06-01
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| Series: | Medical Review |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/mr-2022-0042 |
| _version_ | 1797682396750938112 |
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| author | Zha Yiqian Xue Cuili Liu Yanlei Ni Jian De La Fuente Jesus M. Cui Daxiang |
| author_facet | Zha Yiqian Xue Cuili Liu Yanlei Ni Jian De La Fuente Jesus M. Cui Daxiang |
| author_sort | Zha Yiqian |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T23:59:09Z |
| format | Article |
| id | doaj.art-685b0f1bb9804359b7631f99b077266d |
| institution | Directory Open Access Journal |
| issn | 2749-9642 |
| language | English |
| last_indexed | 2024-03-11T23:59:09Z |
| publishDate | 2023-06-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Medical Review |
| spelling | doaj.art-685b0f1bb9804359b7631f99b077266d2023-09-18T06:31:57ZengDe GruyterMedical Review2749-96422023-06-013321422910.1515/mr-2022-0042Artificial intelligence in theranostics of gastric cancer, a reviewZha Yiqian0Xue Cuili1Liu Yanlei2Ni Jian3De La Fuente Jesus M.4Cui Daxiang5Institute 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, ChinaInstitute 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, ChinaInstitute 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, ChinaInstitute 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, ChinaInstitute of Aragon Nanoscience, University of Zaragoza, Zaragoza, SpainInstitute 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, ChinaGastric 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.https://doi.org/10.1515/mr-2022-0042artificial intelligencediagnosisgastric cancerprognosisscreeningtherapy |
| spellingShingle | Zha Yiqian Xue Cuili Liu Yanlei Ni Jian De La Fuente Jesus M. Cui Daxiang Artificial intelligence in theranostics of gastric cancer, a review Medical Review artificial intelligence diagnosis gastric cancer prognosis screening therapy |
| title | Artificial intelligence in theranostics of gastric cancer, a review |
| title_full | Artificial intelligence in theranostics of gastric cancer, a review |
| title_fullStr | Artificial intelligence in theranostics of gastric cancer, a review |
| title_full_unstemmed | Artificial intelligence in theranostics of gastric cancer, a review |
| title_short | Artificial intelligence in theranostics of gastric cancer, a review |
| title_sort | artificial intelligence in theranostics of gastric cancer a review |
| topic | artificial intelligence diagnosis gastric cancer prognosis screening therapy |
| url | https://doi.org/10.1515/mr-2022-0042 |
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