Advancements In Fake Medical Image Detection: A Comparative Analysis Of YOLO, GAN, CNN, And Zero-Shot Learning Approaches

Background: The advancement of AI image manipulation in medical image with focus on orthopedic, especially on diagnosing of joints may lead to misdiagnosis and inappropriate treatment. Deep learning models like CNNs, GANs, YOLO and other require large amounts of prelabeled data which makes handling fake image detection difficult.