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...

Celý popis

Podrobná bibliografie
Hlavní autoři:	Deniz Alis, Toygar Tanyel, Emine Meltem, Mustafa Ege Seker, Delal Seker, Hakkı Muammer Karakaş, Ercan Karaarslan, İlkay Öksüz
Médium:	Článek
Jazyk:	English
Vydáno:	Galenos Publishing House 2024-11-01
Edice:	Diagnostic and Interventional Radiology
Témata:	radiology artificial intelligence clinical decision-making computer-assisted healthcare economics and organizations data security in healthcare regulatory compliance in medicine
On-line přístup:	https://www.dirjournal.org/articles/choosing-the-right-artificial-intelligence-solutions-for-your-radiology-department-key-factors-to-consider/doi/dir.2024.232658

Internet

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

Internet

Podobné jednotky