AIMC Topic: Cone-Beam Computed Tomography
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Artificial intelligence and mixed reality for dental implant planning: A technical note.
Clinical implant dentistry and related research
Jun 28, 2024
AIM: The aim of this work is to present a new protocol for implant surgical planning which involves the combined use of artificial intelligence (AI) and mixed reality (MR).
Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset.
PloS one
Jun 25, 2024
Cephalometric analysis is critically important and common procedure prior to orthodontic treatment and orthognathic surgery. Recently, deep learning approaches have been proposed for automatic 3D cephalometric analysis based on landmarking from CBCT ...
Detecting Mandible Fractures in CBCT Scans Using a 3-Stage Neural Network.
Journal of dental research
Jun 24, 2024
After nasal bone fractures, fractures of the mandible are the most frequently encountered injuries of the facial skeleton. Accurate identification of fracture locations is critical for effectively managing these injuries. To address this need, JawFra...
Novel AI-based automated virtual implant placement: Artificial versus human intelligence.
Journal of dentistry
Jun 22, 2024
OBJECTIVES: To assess quality, clinical acceptance, time-efficiency, and consistency of a novel artificial intelligence (AI)-driven tool for automated presurgical implant planning for single tooth replacement, compared to a human intelligence (HI)-ba...
Deep learning-based approach for 3D bone segmentation and prediction of missing tooth region for dental implant planning.
Scientific reports
Jun 16, 2024
Recent studies have shown that dental implants have high long-term survival rates, indicating their effectiveness compared to other treatments. However, there is still a concern regarding treatment failure. Deep learning methods, specifically U-Net m...
DentalSegmentator: Robust open source deep learning-based CT and CBCT image segmentation.
Journal of dentistry
Jun 13, 2024
OBJECTIVES: Segmentation of anatomical structures on dento-maxillo-facial (DMF) computed tomography (CT) or cone beam computed tomography (CBCT) scans is increasingly needed in digital dentistry. The main aim of this research was to propose and evalu...
Emergence of artificial intelligence for automating cone-beam computed tomography-derived maxillary sinus imaging tasks. A systematic review.
Clinical implant dentistry and related research
Jun 11, 2024
Cone-beam computed tomography (CBCT) imaging of the maxillary sinus is indispensable for implantologists, offering three-dimensional anatomical visualization, morphological variation detection, and abnormality identification, all critical for diagnos...
Accuracy of manual and artificial intelligence-based superimposition of cone-beam computed tomography with digital scan data, utilizing an implant planning software: A randomized clinical study.
Clinical oral implants research
Jun 10, 2024
OBJECTIVES: To investigate the accuracy of conventional and automatic artificial intelligence (AI)-based registration of cone-beam computed tomography (CBCT) with intraoral scans and to evaluate the impact of user's experience, restoration artifact, ...
Development of Artificial Intelligence Models for Tooth Numbering and Detection: A Systematic Review.
International dental journal
Jun 8, 2024
Dental radiography is widely used in dental practices and offers a valuable resource for the development of AI technology. Consequently, many researchers have been drawn to explore its application in different areas. The current systematic review was...
Re-evaluation of the prospective risk analysis for artificial-intelligence driven cone beam computed tomography-based online adaptive radiotherapy after one year of clinical experience.
Zeitschrift fur medizinische Physik
Jun 8, 2024
Cone-beam computed tomography (CBCT)-based online adaptation is increasingly being introduced into many clinics. Upon implementation of a new treatment technique, a prospective risk analysis is required and enhances workflow safety. We conducted a ri...
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