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

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

Abstract Objectives Cryptococcosis remains a severe global health concern, underscoring the urgent need for rapid and reliable diagnostic solutions. Point-of-care tests (POCTs), such as the cryptococcal antigen semi-quantitative (CrAgSQ) lateral flow assay (LFA), offer promise in addressing this cha...

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Bibliographic Details
Main Authors: David Bermejo-Peláez, Ana Alastruey-Izquierdo, Narda Medina, Daniel Capellán-Martín, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodríguez-Tudela
Format: Article
Language:English
Published: Pensoft Publishers 2024-08-01
Series:IMA Fungus
Subjects:
Cryptococcosis
Lateral flow assay (LFA)
Artificial intelligence (AI)
Smartphone
Semiquantitative assay
Antigen quantification
Online Access:https://doi.org/10.1186/s43008-024-00158-5
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https://doi.org/10.1186/s43008-024-00158-5

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