Clinical performance of AI-integrated risk assessment pooling reveals cost savings even at high prevalence of COVID-19
Farzin Kamari,
Esben Eller,
Mathias Emil Bøgebjerg
et al.
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 patients. Segtnan™ is available as a mobile application entailing an AI-integrated personalized risk assessment approach with a novel data-driven equation for pooling of biological samples. The AI was selected from a compar… Show more
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