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Advances and limitations of artificial intelligence-assisted identification of pathogenic fungi
2025-07-17
infectious diseases
Title + abstract only
View on medRxiv
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ObjectivesWe developed and tested multiple computer-vision image classifiers, for their ability to identify a large set of common and rare pathogenic molds. Aim of the study was to create a comprehensive global benchmark towards the novel, emerging field of computer vision driven diagnostics of pathogenic microbes. If successfully implemented, a high-resource clinical setting could greatly benefit from this adjunct technique to supplement molecular sequencing and mass spectrometry driven methodo...
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