放射学中的人工智能:来自拉丁美洲大型卫生系统的私人执业视角

IF 0.8 4区医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Seminars in Roentgenology Pub Date : 2023-04-01 DOI:10.1053/j.ro.2023.01.006

Paulo E.A. Kuriki, Felipe C. Kitamura

{"title":"放射学中的人工智能:来自拉丁美洲大型卫生系统的私人执业视角","authors":"Paulo E.A. Kuriki, Felipe C. Kitamura","doi":"10.1053/j.ro.2023.01.006","DOIUrl":null,"url":null,"abstract":"<div><p>In the field of radiology<span>, the use of artificial intelligence (AI) is increasing. Even though healthcare facilities are interested in using this technology, having success with an AI project can be challenging. There is a myriad of AI solutions today, and comparing them can be challenging. Moreover, the implementation process involves alignment with many different areas. In our institution, we have been testing, developing, deploying, and monitoring AI solutions for the last four years. This article intends to share our experience and highlight the most important points to ensure a successful project based on our experience in the setting of a large private practice in Latin America.</span></p></div>","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence in Radiology: A Private Practice Perspective From a Large Health System in Latin America\",\"authors\":\"Paulo E.A. Kuriki, Felipe C. Kitamura\",\"doi\":\"10.1053/j.ro.2023.01.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the field of radiology<span>, the use of artificial intelligence (AI) is increasing. Even though healthcare facilities are interested in using this technology, having success with an AI project can be challenging. There is a myriad of AI solutions today, and comparing them can be challenging. Moreover, the implementation process involves alignment with many different areas. In our institution, we have been testing, developing, deploying, and monitoring AI solutions for the last four years. This article intends to share our experience and highlight the most important points to ensure a successful project based on our experience in the setting of a large private practice in Latin America.</span></p></div>\",\"PeriodicalId\":51151,\"journal\":{\"name\":\"Seminars in Roentgenology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seminars in Roentgenology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0037198X23000056\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in Roentgenology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0037198X23000056","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}

引用次数: 0

摘要

在放射学领域，人工智能（AI）的使用正在增加。尽管医疗机构对使用这项技术感兴趣，但在人工智能项目上取得成功可能是一项挑战。今天有无数的人工智能解决方案，比较它们可能很有挑战性。此外，执行过程涉及与许多不同领域保持一致。在过去的四年里，我们一直在测试、开发、部署和监控人工智能解决方案。本文旨在根据我们在拉丁美洲大型私人诊所的经验，分享我们的经验，并强调最重要的一点，以确保项目成功。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Artificial Intelligence in Radiology: A Private Practice Perspective From a Large Health System in Latin America

In the field of radiology, the use of artificial intelligence (AI) is increasing. Even though healthcare facilities are interested in using this technology, having success with an AI project can be challenging. There is a myriad of AI solutions today, and comparing them can be challenging. Moreover, the implementation process involves alignment with many different areas. In our institution, we have been testing, developing, deploying, and monitoring AI solutions for the last four years. This article intends to share our experience and highlight the most important points to ensure a successful project based on our experience in the setting of a large private practice in Latin America.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Seminars in Roentgenology 医学-核医学

CiteScore

0.90

自引率

0.00%

发文量

审稿时长

51 days

期刊介绍： Seminars in Roentgenology is designed primarily for the practicing radiologist and for the resident. Each quarterly issue compiled by a leading guest editor covers a single topic of current importance. The clinical, pathological, and roentgenologic aspects are emphasized, while research and techniques are discussed insofar as they provide documentation and clarification of the subject under discussion. This Seminars series is of interest to radiologists, sonographers, and radiologic technicians.