Enhancing cone-beam computed tomography detail and interpretation with a generative adversarial network-driven artificial intelligence framework

Chi-Yu Lin(Taipei Medical University), Wei‐Chun Lin(Taipei Medical University Hospital), Che-Ming Liu(Wan Fang Hospital), Yu-Chieh Lin(Vilnius University)
Journal of Dental Sciences
December 1, 2025
10.1016/j.jds.2025.12.001
Cited by 0

Related Papers

Evaluation of the efficiency, trueness, and clinical application of novel artificial intelligence design for dental crown prostheses
|Dental Materials|2023|54
Evaluation of the accuracy, occlusal contact and clinical applications of zirconia crowns using artificial intelligence design versus human design
|Journal of Dental Sciences|2025|11
Innovative methods and materials used to produce trans-radial SSOS prosthetic sockets that can be easily used by under-resourced communities
|Unknown|2019|0
Quantitative comparison of enamel–dentin and dentin–pulp distances between cone-beam computed tomography and histological sections: An ex vivo study
|Journal of Dental Sciences|2025|0