Научные материалы

Обнаружение периапикальных поражений на панорамных рентгенограммах на основе глубокого обучения

Development and validation of an artificial intelligencesoftware for periodontal bone loss in panoramic imaging

Artificial Intelligence Application in Assessment of Panoramic Radiographs

Determining the reliability of diagnosis and treatment using artificial intelligence softwarewith panoramic radiographs

AI‑based automatic segmentationof craniomaxillofacial anatomyfrom CBCT scans for automaticdetection of pharyngeal airwayevaluations in OSA patients

A Novel Method to Aproach a Hipoplasic Midface Diagnosis

Artificial Intelligence Application in Assessment of Upper Airwayon Cone-Beam Computed Tomography Scans

A deep learning approach for dental implantplanning in cone-beam computed tomographyimages

Deep Learning and Artificial IntelligenceApplications in Dentomaxillofacial Radiology

Human Remains Identification Using Micro-CT, Chemometricand AI Methods in Forensic Experimental Reconstruction ofDental Patterns after Concentrated Sulphuric AcidSignificant Impact

Artificial Intelligence in Endodontics

Accuracy of Linear Measurements using 2 Different Software Programs and ArtificialIntelligence CBCT Derived STL Models

AI-Assisted CBCT Data Management in Modern DentalPractice: Benefits, Limitations and Innovations

Evaluation of Temporomandibular Joint Osseous Degenerative Changes with ArtificialIntelligence Generated STL Segmentations

Assessing the reliability of CBCT-based AI-generated STLfiles in diagnosing osseous changes of the mandibular condyle: acomparative study with ground truth diagnosis

Clinically applicable artificialintelligence system for dentaldiagnosis with CBCT

Dental pathology detection in 3D cone-beam CT

End-to-end dental pathology detection in 3Dcone-beam computed tomography images

The Role of Artificial Intelligence in the Accurate Diagnosisand Treatment Planning of Non-Syndromic SupernumeraryTeeth: A Case Report in a Six-Year-Old Boy

Evaluation of artificial intelligence for detecting impacted third molarson cone-beam computed tomography scans

Evaluation of artificial intelligence for automatic tooth and periapical pathosis detection on panoramic radiography

Evaluation of artificial intelligence for detectingperiapical pathosis on cone-beam computedtomography scans

Diagnostic Test Accuracy of Artificial Intelligence in DetectingPeriapical Periodontitis on Two-Dimensional Radiographs: A Retrospective Study and Literature Review

Validation of Artificial Intelligence Application for Dental Caries Diagnosis

Reliability of Linear Measurements on STL Models Obtained from CBCT Images Using Artificial Intelligence and Different Softwares