Deep learning-based object detection of dental implant systems in panoramic and periapical radiographs

Key Points

• Accurate object detection of dental implants was achieved using deep learning techniques, enhancing radiographic interpretation.
• Detection performance significantly improved, with reported metrics showcasing refined identification capabilities in both panoramic and periapical views.
• Analysis employed deep learning-based object detection methods, analyzing radiographic images to assess accuracy and reliability.
• Supports the integration of AI technologies in dental imaging, potentially improving diagnostic precision for clinicians.