Research Keyword: diagnostic accuracy

Deep learning application to hyphae and spores identification in fungal fluorescence images

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Researchers developed an artificial intelligence system using two deep learning models to automatically identify fungal infections in microscope images. The system analyzes fluorescence-stained samples to detect fungal spores, hyphae, and mycelium with accuracy matching experienced doctors. This automated approach can significantly reduce the time clinicians spend examining samples and help prevent misdiagnosis, especially in hospitals with fewer specialist technicians.

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The diagnosis of mucormycosis by PCR in patients at risk: a systematic review and meta-analysis

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Mucormycosis is a dangerous fungal infection that kills many patients. Traditional tests like fungal culture are slow and often miss infections. This comprehensive study of 30 research papers shows that PCR testing is very effective at detecting this fungus, with different specimen types having different success rates. Blood tests were easiest to perform and worked well for screening high-risk patients, while fluid from the lungs was the most accurate.

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Multicenter performance evaluation of the “quanty TOXO (RH region)” kit (Clonit) for molecular diagnosis of toxoplasmosis

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Researchers from seven French hospitals tested a commercial DNA test kit called “quanty TOXO” that detects Toxoplasma gondii, a parasite causing serious infections in pregnant women and people with weakened immune systems. The kit performed well overall, correctly identifying infection in nearly 95% of positive cases and showing no false positives. However, the test sometimes missed infections when parasite levels were very low, suggesting doctors should run tests twice to increase detection chances.

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Comparison of galactomannan lateral flow assay and enzyme immunoassay to identify Aspergillus spp. in bronchoalveolar lavage fluid

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Researchers compared two rapid tests for detecting a fungal infection called aspergillosis in lung fluid samples. One test uses a simple lateral flow format (like a COVID test), while the other is a more traditional enzyme immunoassay. Both tests had good agreement, with the lateral flow assay showing high accuracy and the advantage of being faster and requiring fewer laboratory resources, making it especially useful for hospitals with limited equipment.

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