Research Keyword: clinical decision support

Large language models and their performance for the diagnosis of histoplasmosis

Researchers tested whether artificial intelligence chatbots like ChatGPT and Microsoft Copilot could help doctors diagnose histoplasmosis, a serious fungal infection affecting people with HIV/AIDS that is often missed. They presented 20 real patient case descriptions to different AI systems and found that Microsoft Copilot performed best, correctly identifying histoplasmosis in 90% of cases—about as good as laboratory tests. While the AI showed promise as a helpful tool to suggest this neglected disease during diagnosis, doctors would still need to verify findings with actual tests.

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

Researchers developed an artificial intelligence system that can automatically identify fungal infections in microscope images as accurately as experienced doctors. The system uses two different AI models working together to spot fungal spores, thread-like hyphae, and mycelium in fluorescence images. This technology could significantly reduce the time doctors spend analyzing samples and help ensure more accurate diagnoses, especially in hospitals with fewer experienced specialists.

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