Detection and classification of mandibular fractures in panoramic radiography using artificial intelligence
CONCLUSION: The trained algorithm achieved promising performance metrics for the automated detection of most fracture types, with the highest performance observed in detecting body and symphysis fractures. Machine learning can provide a potential tool for assisting clinicians in mandibular fracture diagnosis.PMID:38652576 | DOI:10.1093/dmfr/twae018 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - April 23, 2024 Category: Radiology Authors: Amir Yari Paniz Fasih Mohammad Hosseini Hooshiar Ali Goodarzi Seyedeh Farnaz Fattahi Source Type: research
Application of machine learning in the preoperative radiomic diagnosis of ameloblastoma and odontogenic keratocyst based on cone-beam CT
CONCLUSIONS: Radiomic-based ML algorithms allow CBCT images of AME and OKC to be distinguished accurately, facilitating the preoperative differential diagnosis of AME and OKC.ADVANCES IN KNOWLEDGE: ML and radiomic approaches with high-resolution CBCT images provide new insights into the differential diagnosis of AME and OKC.PMID:38627247 | DOI:10.1093/dmfr/twae016 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - April 16, 2024 Category: Radiology Authors: Yang Song Sirui Ma Bing Mao Kun Xu Yuan Liu Jingdong Ma Jun Jia Source Type: research
Identification and classification of pulp calcifications in posterior teeth according to dental condition using digital panoramic radiography and cone beam computed tomography
CONCLUSION: DPR considerably overestimates pulp calcifications in posterior teeth, as compared to CBCT. A higher prevalence of pulp calcifications is related to decayed and restored teeth.PMID:38608191 | DOI:10.1093/dmfr/twae015 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - April 12, 2024 Category: Radiology Authors: Poliana Santos Gon çalves Amanda Pelegrin Candemil Igor Bassi Ferreira Petean Alice Correa Silva Sousa Cassiano Ricardo Ferreira Pires Jardel Francisco Mazzi-Chaves Manoel Dami ão de Sousa-Neto Hugo Ga êta-Araujo Source Type: research
Differentiation of radicular cysts and radicular granulomas via texture analysis of multi-slice computed tomography images
CONCLUSION: Discriminatory models were established for the TA of radicular cysts and granulomas using CT images.PMID:38565278 | DOI:10.1093/dmfr/twae011 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - April 2, 2024 Category: Radiology Authors: Supasith Yomtako Hiroshi Watanabe Ami Kuribayashi Junichiro Sakamoto Masahiko Miura Source Type: research
