 This study evaluated the performance of an artificial intelligence, AI, framework for diagnosing five types of dental diseases from panoramic radiographs, PRS. The AI framework was composed of two deep convolutional neural networks, CNN's BDUNET and NNUNET. The AI framework achieved high sensitivity, specificity, and accuracy for diagnosing impacted teeth, full crowns, missing teeth, residual roots, and caries. Additionally, the AI framework had a faster diagnostic time compared to experienced dentists. This suggests that the AI framework could potentially be used as a reliable tool for diagnosing these dental conditions. This article was authored by Junwozhu, Ji Chen, Jingjiao, and others.