{"title":"[人工智能在前列腺癌诊断中的应用]。","authors":"Ke-Xin Zhang, Zhan-Peng Yu, Tian-Yi Shen, Hao Tang","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>With the rise of precision medicine, the continuous expansionWith the rise of precision medicine, the continuous expansion the collective push from many other the application of Artificial Intelligence (AI) in prostate cancer diagnosis is increasingly becoming a focal point. AI technology can effectively utilize diverse detection methods such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and whole pathology slide imaging to efficiently identify and differentiate between benign and malignant lesions. The encouraging results from numerous studies herald the enormous potential of this field. This article aims to provide a comprehensive summary and analysis of the research progress made in AI for prostate cancer diagnosis, in order to better grasp the trends in this area of development.</p>","PeriodicalId":24012,"journal":{"name":"中华男科学杂志","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Application of artificial intelligence in the diagnosis of prostate cancer].\",\"authors\":\"Ke-Xin Zhang, Zhan-Peng Yu, Tian-Yi Shen, Hao Tang\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>With the rise of precision medicine, the continuous expansionWith the rise of precision medicine, the continuous expansion the collective push from many other the application of Artificial Intelligence (AI) in prostate cancer diagnosis is increasingly becoming a focal point. AI technology can effectively utilize diverse detection methods such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and whole pathology slide imaging to efficiently identify and differentiate between benign and malignant lesions. The encouraging results from numerous studies herald the enormous potential of this field. This article aims to provide a comprehensive summary and analysis of the research progress made in AI for prostate cancer diagnosis, in order to better grasp the trends in this area of development.</p>\",\"PeriodicalId\":24012,\"journal\":{\"name\":\"中华男科学杂志\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中华男科学杂志\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华男科学杂志","FirstCategoryId":"3","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
[Application of artificial intelligence in the diagnosis of prostate cancer].
With the rise of precision medicine, the continuous expansionWith the rise of precision medicine, the continuous expansion the collective push from many other the application of Artificial Intelligence (AI) in prostate cancer diagnosis is increasingly becoming a focal point. AI technology can effectively utilize diverse detection methods such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and whole pathology slide imaging to efficiently identify and differentiate between benign and malignant lesions. The encouraging results from numerous studies herald the enormous potential of this field. This article aims to provide a comprehensive summary and analysis of the research progress made in AI for prostate cancer diagnosis, in order to better grasp the trends in this area of development.