<ul><li>A team of researchers has developed a sophisticated AI model for automated detection of malaria parasites in blood samples.</li><li>Using NVIDIA GPUs, their convolutional neural network achieved a 99.51% accuracy in parasite detection.</li><li>The researchers trained the model by analyzing 5,941 labeled thick blood smear microscope images.</li><li>Traditional microscopy methods face limitations in accuracy and consistency, highlighting the potential of AI-driven diagnostics.</li></ul>

Researchers Develop AI Model to Detect Malaria Using NVIDIA

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