{"title":"基于人工智能的胃癌技术的应用及未来展望","authors":"Jyun-Guo Wang","doi":"10.4103/tcmj.tcmj-305-22","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":45873,"journal":{"name":"Tzu Chi Medical Journal","volume":"295 1","pages":"0"},"PeriodicalIF":1.4000,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application and future perspectives of gastric cancer technology based on artificial intelligence\",\"authors\":\"Jyun-Guo Wang\",\"doi\":\"10.4103/tcmj.tcmj-305-22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":45873,\"journal\":{\"name\":\"Tzu Chi Medical Journal\",\"volume\":\"295 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-02-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tzu Chi Medical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/tcmj.tcmj-305-22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tzu Chi Medical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/tcmj.tcmj-305-22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
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. 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.
期刊介绍：
The Tzu Chi Medical Journal is the peer-reviewed publication of the Buddhist Compassion Relief Tzu Chi Foundation, and includes original research papers on clinical medicine and basic science, case reports, clinical pathological pages, and review articles.
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