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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Deniz Alis, Toygar Tanyel, Emine Meltem, Mustafa Ege Seker, Delal Seker, Hakkı Muammer Karakaş, Ercan Karaarslan, İlkay Öksüz
Μορφή:	Άρθρο
Γλώσσα:	English
Έκδοση:	Galenos Publishing House 2024-11-01
Σειρά:	Diagnostic and Interventional Radiology
Θέματα:	radiology artificial intelligence clinical decision-making computer-assisted healthcare economics and organizations data security in healthcare regulatory compliance in medicine
Διαθέσιμο Online:	https://www.dirjournal.org/articles/choosing-the-right-artificial-intelligence-solutions-for-your-radiology-department-key-factors-to-consider/doi/dir.2024.232658

Διαδίκτυο

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

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

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