DasaInova, Dasa, Av. das Nações Unidas, São Paulo SP, Brazil.
DasaInova, Dasa, Av. das Nações Unidas, São Paulo SP, Brazil.
Semin Roentgenol. 2023 Apr;58(2):203-207. doi: 10.1053/j.ro.2023.01.006. Epub 2023 Feb 23.
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.
在放射学领域，人工智能（AI）的使用正在增加。尽管医疗机构有兴趣使用这项技术，但要使 AI 项目取得成功可能具有挑战性。如今有许多 AI 解决方案，要对它们进行比较可能具有挑战性。此外，实施过程涉及与许多不同领域的协调。在我们的机构中，我们在过去四年中一直在测试、开发、部署和监控 AI 解决方案。本文旨在分享我们的经验，并根据我们在拉丁美洲一家大型私人诊所的经验，强调确保项目成功的最重要要点。
