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多模型AI诊断疟疾准确率达96.47%
news flash·2025-07-17 22:14

Core Insights - A new study published on July 16 in "Scientific Reports" demonstrates that a multi-model artificial intelligence (AI) framework combining deep learning and machine learning achieved an accuracy rate of 96.47% in malaria diagnosis, providing an efficient diagnostic tool for global malaria control [1] Group 1 - The research was conducted collaboratively by institutions including Jouf University in Saudi Arabia and Cairo University in Egypt, highlighting the growing application of AI in the diagnosis of tropical diseases [1]