Clinical performance of AI-integrated risk assessment pooling reveals cost savings even at high prevalence of COVID-19

Clinical performance of AI-integrated risk assessment pooling reveals cost savings even at high prevalence of COVID-19

Abstract Individual testing of samples is time- and cost-intensive, particularly during an ongoing pandemic. Better practical alternatives to individual testing can significantly decrease the burden of disease on the healthcare system. Herein, we presented the clinical validation of Segtnan™ on 3929...

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מידע ביבליוגרפי
Main Authors: Farzin Kamari, Esben Eller, Mathias Emil Bøgebjerg, Ignacio Martínez Capella, Borja Arroyo Galende, Tomas Korim, Pernille Øland, Martin Lysbjerg Borup, Anja Rådberg Frederiksen, Amir Ranjouriheravi, Ahmed Faris Al-Jwadi, Mostafa Mansour, Sara Hansen, Isabella Diethelm, Marta Burek, Federico Alvarez, Anders Glent Buch, Nima Mojtahedi, Richard Röttger, Eivind Antonsen Segtnan
פורמט: Article
שפה:English
יצא לאור: Nature Portfolio 2024-04-01
סדרה:Scientific Reports
גישה מקוונת:https://doi.org/10.1038/s41598-024-59068-6

אינטרנט

https://doi.org/10.1038/s41598-024-59068-6

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