{"title":"Using Artificial Intelligence in Screening Mammography.","authors":"Karl T Clebak, Michael T Partin, Nathan J Hemerly","doi":"","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":7713,"journal":{"name":"American family physician","volume":"110 5","pages":"535-536"},"PeriodicalIF":3.8000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American family physician","FirstCategoryId":"3","ListUrlMain":"","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
期刊介绍：
American Family Physician is a semimonthly, editorially independent, peer-reviewed journal of the American Academy of Family Physicians. AFP’s chief objective is to provide high-quality continuing medical education for more than 190,000 family physicians and other primary care clinicians. The editors prefer original articles from experienced clinicians who write succinct, evidence-based, authoritative clinical reviews that will assist family physicians in patient care. AFP considers only manuscripts that are original, have not been published previously, and are not under consideration for publication elsewhere. Articles that demonstrate a family medicine perspective on and approach to a common clinical condition are particularly desirable.
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