Fanelli, F.; Tisci, A.; Lo Muzio, L.; Troiano, G.; Caponio, V.C.A.; Dioguardi, M.; Zhurakivska, K.
Artificial Intelligence for Radiographic Diagnosis of Peri-Implantitis: A Comprehensive Review on Detection, Measurement, and Risk Stratification. J. Clin. Med. 2026, 15, 5210.
https://doi.org/10.3390/jcm15135210
AMA Style
Fanelli F, Tisci A, Lo Muzio L, Troiano G, Caponio VCA, Dioguardi M, Zhurakivska K.
Artificial Intelligence for Radiographic Diagnosis of Peri-Implantitis: A Comprehensive Review on Detection, Measurement, and Risk Stratification. Journal of Clinical Medicine. 2026; 15(13):5210.
https://doi.org/10.3390/jcm15135210
Chicago/Turabian Style
Fanelli, Francesco, Angela Tisci, Lorenzo Lo Muzio, Giuseppe Troiano, Vito Carlo Alberto Caponio, Mario Dioguardi, and Khrystyna Zhurakivska.
2026. "Artificial Intelligence for Radiographic Diagnosis of Peri-Implantitis: A Comprehensive Review on Detection, Measurement, and Risk Stratification" Journal of Clinical Medicine 15, no. 13: 5210.
https://doi.org/10.3390/jcm15135210
APA Style
Fanelli, F., Tisci, A., Lo Muzio, L., Troiano, G., Caponio, V. C. A., Dioguardi, M., & Zhurakivska, K.
(2026). Artificial Intelligence for Radiographic Diagnosis of Peri-Implantitis: A Comprehensive Review on Detection, Measurement, and Risk Stratification. Journal of Clinical Medicine, 15(13), 5210.
https://doi.org/10.3390/jcm15135210
