Integration of Multimodal Coherence Features for Robust and Explainable Deepfake Detection with Clinical Dentistry Use Cases
AI-Driven Innovation and Smart Systems: 46AI 2025
This study presents a reproducible multimodal deepfake detection framework integrating visual, acoustic, and cross-modal coherence features for dental applications. Using the DeepFake RealWorld dataset (46,371 clips; 77% with audio), forty-seven interpretable descriptors were extracted across visual and bioacoustic domains. Cross-modal metrics, such as LSE-D/LSE-C and…