Research graph
References from AI-driven analysis of jaw-bone alterations in CBCT images associated with systemic diseases: A systematic review. Local targets link to admitted publications; unresolved targets remain external evidence.
Neuroendocrine influencers and associated factors that shape jaw movement and growth in temporomandibular joint disorder management: a systematic review of clinical and radiographic evidence
10.3390/jpm13050840 · 2023 · External reference
The effect of self-reported diabetes on alveolar bone loss and number of missing teeth
10.2174/1874210602115010526 · 2021 · External reference
Current knowledge regarding the interaction between oral bone metabolic disorders and diabetes mellitus
10.3389/fendo.2020.00536 · 2020 · External reference
Osteoporosis and periodontal diseases - an update on their association and mechanistic links
10.1111/prd.12422 · 2022 · External reference
Association between osteoporosis and periodontitis
10.1016/j.jbspin.2025.105883 · 2025 · External reference
What is cone-beam CT and how does it work?
10.1016/j.cden.2008.05.005 · 2008 · External reference
Evaluation of trabecular bone microstructure and cortical morphology using cone-beam and micro-CT images: impact of tube voltage setting
10.1186/s12903-025-05855-0 · 2025 · External reference
Quantifications of mandibular trabecular bone microstructure using cone beam computed tomography for age estimation: a preliminary Study
10.3390/biology11101521 · 2022 · External reference
Diagnostic accuracy of CBCT versus intraoral imaging for assessment of peri-implant bone defects
10.1186/s12880-021-00557-9 · 2021 · External reference
Two decades of research on CBCT imaging in DMFR - an appraisal of scientific evidence
10.1259/dmfr.20200367 · 2021 · External reference
Dentomaxillofacial CBCT clinical challenges for indication-oriented imaging
10.1055/s-0040-1709428 · 2020 · External reference
Redefining radiology: a review of artificial intelligence integration in medical imaging
10.3390/diagnostics13172760 · 2023 · External reference
How artificial intelligence is shaping medical imaging technology: a survey of innovations and applications
10.3390/bioengineering10121435 · 2023 · External reference
The evolution of artificial intelligence in medical imaging: from computer science to machine and deep learning
10.3390/cancers16213702 · 2024 · External reference
Assessing the effectiveness of artificial intelligence models for detecting alveolar bone loss in periodontal disease: a panoramic radiograph study
10.3390/diagnostics13101800 · 2023 · External reference
Clinically applicable artificial intelligence system for dental diagnosis with CBCT
2021 · External reference
Exploring the applications of artificial intelligence in dental image detection: a systematic review
10.3390/diagnostics14212442 · 2024 · External reference
An artificial intelligence model for the radiographic diagnosis of osteoarthritis of the temporomandibular joint
10.1038/s41598-023-43277-6 · 2023 · External reference
Classification of temporomandibular joint osteoarthritis on cone beam computed tomography images using artificial intelligence system
10.1111/joor.13481 · 2023 · External reference
Modular neural networks for osteoporosis detection in mandibular cone-beam computed tomography scans
10.3390/tomography9050141 · 2023 · External reference
Unresolved reference
External reference
Artificial intelligence in dentistry: current applications and future perspectives
2020 · External reference
Assessing the role of random forests in medical image segmentation
2021 · External reference
Data mining techniques for analyzing healthcare conditions of urban space-person lung using meta-heuristic optimized neural networks
10.1007/s10586-020-03127-w · 2020 · External reference
Dental-YOLO: alveolar bone and mandibular canal detection on cone beam computed tomography images for dental implant planning
10.1109/access.2022.3208350 · 2022 · External reference
Evaluation of osteoarthritic changes in the temporomandibular joint and their correlations with age: a retrospective CBCT study
10.17219/dmp/112392 · 2020 · External reference
Detection and diagnosis of osteoporosis using a deep learning algorithm applied to panoramic radiographs
2020 · External reference
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
10.1136/bmj.n71 · 2021 · External reference
Artificial intelligence in dental research: checklist for authors, reviewers, readers
10.1016/j.jdent.2021.103610 · 2021 · External reference
Automatic detection of temporomandibular joint osteoarthritis radiographic features using deep learning artificial intelligence. A Diagnostic accuracy study
2024 · External reference
Fractal dimension on CBCT images and modular neural networks to identify reduced bone mineral density in women
10.54216/jisiot.130111 · 2024 · External reference
Mandible bone osteoporosis detection using cone-beam computed tomography
10.48084/etasr.3637 · 2020 · External reference
Quantitative bone imaging biomarkers and joint space analysis of the articular fossa in temporomandibular joint osteoarthritis using artificial intelligence models
10.3389/fdmed.2022.1007011 · 2022 · External reference
A web-based system for neural network-based classification in temporomandibular joint osteoarthritis
10.1016/j.compmedimag.2018.04.009 · 2018 · External reference
Diagnosis and classification of temporomandibular joint osteoarthritis on cone beam computed tomography imaging using artificial intelligence system
10.53555/jptcp.v31i7.7187 · 2024 · External reference
Detecting caries lesions of different radiographic extension on bitewings using deep learning
10.1016/j.jdent.2020.103425 · 2020 · External reference
Deep learning for the radiographic detection of periodontal bone loss
10.1038/s41598-019-44839-3 · 2019 · External reference
Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks
10.1186/s12903-020-01256-7 · 2020 · External reference
Development of a deep learning algorithm for periapical disease detection in dental radiographs
10.3390/diagnostics10060430 · 2020 · External reference
Deep learning in medical imaging: general overview
10.3348/kjr.2017.18.4.570 · 2017 · External reference
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
10.1136/bmjopen-2020-047709 · 2021 · External reference
