Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay.

David Bermejo-Peláez Ana-Alastruey Izquierdo Narda Medina Daniel Capellán-Martín Oscar Bonilla Miguel Á Luengo-OrozJuan Luis Rodríguez-Tudela

Published in: IMA fungus (2024)

This technology's adaptability for various LFAs suggests broader applications. AI-driven interpretations have transformative potential, revolutionizing cryptococcosis diagnosis, offering standardized, reliable, and efficient POCT results.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
high throughput
high resolution