Application and future perspectives of gastric cancer technology based on artificial intelligence
Gastric cancer is among the most common cancers and the second-leading cause of death globally. A variety of artificial intelligence (AI) applications have been developed to facilitate the image-based diagnosis of gastric cancer through pathological analysis, endoscopy, and computerized tomography....
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2023-01-01
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| Series: | Tzu Chi Medical Journal |
| Subjects: | |
| Online Access: | http://www.tcmjmed.com/article.asp?issn=1016-3190;year=2023;volume=35;issue=2;spage=148;epage=151;aulast=Wang |
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| _version_ | 1849761191658782720 |
|---|---|
| author | Jyun-Guo Wang |
| author_facet | Jyun-Guo Wang |
| author_sort | Jyun-Guo Wang |
| collection | DOAJ |
| description | Gastric cancer is among the most common cancers and the second-leading cause of death globally. A variety of artificial intelligence (AI) applications have been developed to facilitate the image-based diagnosis of gastric cancer through pathological analysis, endoscopy, and computerized tomography. This article provides an overview of these AI applications as well as suggestions pertaining to future developments in this field and their application in clinical practice. |
| format | Article |
| id | doaj-art-da9288491c3944ef9aac6b97ddbca7f2 |
| institution | DOAJ |
| issn | 1016-3190 2223-8956 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Tzu Chi Medical Journal |
| spelling | doaj-art-da9288491c3944ef9aac6b97ddbca7f22025-08-20T03:06:05ZengWolters Kluwer Medknow PublicationsTzu Chi Medical Journal1016-31902223-89562023-01-0135214815110.4103/tcmj.tcmj_305_22Application and future perspectives of gastric cancer technology based on artificial intelligenceJyun-Guo WangGastric cancer is among the most common cancers and the second-leading cause of death globally. A variety of artificial intelligence (AI) applications have been developed to facilitate the image-based diagnosis of gastric cancer through pathological analysis, endoscopy, and computerized tomography. This article provides an overview of these AI applications as well as suggestions pertaining to future developments in this field and their application in clinical practice.http://www.tcmjmed.com/article.asp?issn=1016-3190;year=2023;volume=35;issue=2;spage=148;epage=151;aulast=Wangartificial intelligencegastric cancerimage-based diagnosis |
| spellingShingle | Jyun-Guo Wang Application and future perspectives of gastric cancer technology based on artificial intelligence Tzu Chi Medical Journal artificial intelligence gastric cancer image-based diagnosis |
| title | Application and future perspectives of gastric cancer technology based on artificial intelligence |
| title_full | Application and future perspectives of gastric cancer technology based on artificial intelligence |
| title_fullStr | Application and future perspectives of gastric cancer technology based on artificial intelligence |
| title_full_unstemmed | Application and future perspectives of gastric cancer technology based on artificial intelligence |
| title_short | Application and future perspectives of gastric cancer technology based on artificial intelligence |
| title_sort | application and future perspectives of gastric cancer technology based on artificial intelligence |
| topic | artificial intelligence gastric cancer image-based diagnosis |
| url | http://www.tcmjmed.com/article.asp?issn=1016-3190;year=2023;volume=35;issue=2;spage=148;epage=151;aulast=Wang |
| work_keys_str_mv | AT jyunguowang applicationandfutureperspectivesofgastriccancertechnologybasedonartificialintelligence |