AIMC Topic: Aspergillosis

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Automatic identification of clinically important species by artificial intelligence-based image recognition: proof-of-concept study.

Emerging microbes & infections Dec 9, 2024
While morphological examination is the most widely used for identification in clinical laboratories, PCR-sequencing and MALDI-TOF MS are emerging technologies in more financially-competent laboratories. However, mycological expertise, molecular biol...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Image Processing, Computer-Assisted Aspergillus Proof of Concept Study Aspergillosis
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Deep convolutional neural network: a novel approach for the detection of Aspergillus fungi via stereomicroscopy.

Journal of microbiology (Seoul, Korea) Mar 29, 2021
Fungi of the genus Aspergillus are ubiquitously distributed in nature, and some cause invasive aspergillosis (IA) infections in immunosuppressed individuals and contamination in agricultural products. Because microscopic observation and molecular det...
Humans Neural Networks, Computer Aspergillus Microscopy Aspergillosis Mycological Typing Techniques
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[Evaluation of the lateral flow Aspergillus assay for the diagnosis of invasive aspergillosis, experience in a university hospital].

Revista chilena de infectologia : organo oficial de la Sociedad Chilena de Infectologia Jan 1, 2018
BACKGROUND: The incidence of invasive aspergillosis is increasing. Its diagnosis is based on clinical and microbiological criteria which include the determination of serological markers such as galactomannan. Recently, the Aspergillus lateral flow de...
Humans Female Aged Adult Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Chromatography, Affinity Aspergillus Hospitals, University Aspergillosis Bronchoalveolar Lavage Fluid DNA, Fungal Galactose Mannans
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