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A Comparative Study of Xception-LSTM and Xception-GRU for Deepfake Detection in Journalism

This research addresses the growing threat of deepfakes, AI-generated synthetic media, to journalism and public trust in digital content. Accurately detecting manipulated videos and images remains a critical challenge, especially under computational and data constraints. The stud...

Artificial intelligence empowers full-stack histopathological diagnosis and prognosis of renal cell tumor: a multi-center study with external validation

BACKGROUND: The rapid advancement of digital pathology has opened unprecedented opportunities for intelligent diagnosis in renal cell tumor. However, there remains a significant gap in the availability of reliable deep learning models capable of comprehensive kidney cancer detect...