Choosing the right artificial intelligence solutions for your radiology department: key factors to consider

Choosing the right artificial intelligence solutions for your radiology department: key factors to consider

The rapid evolution of artificial intelligence (AI), particularly in deep learning, has significantly impacted radiology, introducing an array of AI solutions for interpretative tasks. This paper provides radiology departments with a practical guide for selecting and integrating AI solutions, focusi...

詳細記述

書誌詳細
主要な著者: Deniz Alis, Toygar Tanyel, Emine Meltem, Mustafa Ege Seker, Delal Seker, Hakkı Muammer Karakaş, Ercan Karaarslan, İlkay Öksüz
フォーマット: 論文
言語:English
出版事項: Galenos Publishing House 2024-11-01
シリーズ:Diagnostic and Interventional Radiology
主題:
radiology
artificial intelligence
clinical decision-making
computer-assisted healthcare economics and organizations
data security in healthcare
regulatory compliance in medicine
オンライン･アクセス:https://www.dirjournal.org/articles/choosing-the-right-artificial-intelligence-solutions-for-your-radiology-department-key-factors-to-consider/doi/dir.2024.232658

インターネット

https://www.dirjournal.org/articles/choosing-the-right-artificial-intelligence-solutions-for-your-radiology-department-key-factors-to-consider/doi/dir.2024.232658

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