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A recent study revealed that the integration of artificial intelligence technology with smartphone imaging is an effective tool for early detection of malignant tumors on the surface of the eye. A system based on deep learning was developed and trained using microscopic images from multiple centers over the course of 12 years. This system was implemented through a smartphone platform with an application that guides users in capturing images and provides classifications for the health status. The results showed that the system could replace traditional diagnostic methods with high efficiency, contributing to the diagnosis of new cases without the need for eye removal.
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