AIMC Topic: Dental Implants
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Application of a semi-active robotic system for implant placement in atrophic posterior maxilla: A retrospective case series.
Journal of dentistry
Jan 26, 2025
OBJECTIVE: The study aimed to evaluate the accuracy and safety of a semi-active robotic system for implant placement in atrophic posterior maxilla.
Artificial Intelligence in Detecting and Segmenting Vertical Misfit of Prosthesis in Radiographic Images of Dental Implants: A Cross-Sectional Analysis.
Clinical oral implants research
Jan 22, 2025
OBJECTIVE: This study evaluated ResNet-50 and U-Net models for detecting and segmenting vertical misfit in dental implant crowns using periapical radiographic images.
Artificial intelligence for dental implant classification and peri-implant pathology identification in 2D radiographs: A systematic review.
Journal of dentistry
Dec 15, 2024
OBJECTIVE: This systematic review aimed to summarize and evaluate the available information regarding the performance of artificial intelligence on dental implant classification and peri-implant pathology identification in 2D radiographs.
Automated segmentation of dental restorations using deep learning: exploring data augmentation techniques.
Oral radiology
Dec 9, 2024
OBJECTIVES: Deep learning has revolutionized image analysis for dentistry. Automated segmentation of dental radiographs is of great importance towards digital dentistry. The performance of deep learning models heavily relies on the quality and divers...
DEEP LEARNING-DRIVEN SEGMENTATION OF DENTAL IMPLANTS AND PERI-IMPLANTITIS DETECTION IN ORTHOPANTOMOGRAPHS: A NOVEL DIAGNOSTIC TOOL.
The journal of evidence-based dental practice
Nov 26, 2024
INTRODUCTION AND OBJECTIVE: Dental implants are well-established for restoring partial or complete tooth loss, with osseointegration being essential for their long-term success. Peri-implantitis, marked by inflammation and bone loss, compromises impl...
Dynamic navigation-guided robotic placement of zygomatic implants.
Journal of dentistry
Nov 13, 2024
OBJECTIVES: To assess the feasibility and accuracy of a new prototype robotic implant system for the placement of zygomatic implants in edentulous maxillary models.
Dental Implants
Humans
Robotic Surgical Procedures
Surgical Navigation Systems
Calibration
Software
Zygoma
Cone-Beam Computed Tomography
Surgery, Computer-Assisted
Models, Anatomic
Jaw, Edentulous
Feasibility Studies
Maxilla
Imaging, Three-Dimensional
Models, Dental
Image Processing, Computer-Assisted
Dental Implantation, Endosseous
Robotics
Pterygoid implant-based maxillary full-arch rehabilitation using an autonomous robot system: A case report.
Journal of prosthodontics : official journal of the American College of Prosthodontists
Nov 12, 2024
Pterygoid implant placement has been proven to be a viable option in full-arch implant rehabilitation for extremely atrophic maxillae. Nevertheless, the utilization of pterygoid implants remains a challenge for the dentist due to the difficulties of ...
Accuracy of Zygomatic Implant Placement Using Task-Autonomous Robotic System or Dynamic Navigation: An In Vitro Study.
Clinical oral implants research
Oct 23, 2024
OBJECTIVES: To evaluate and compare the accuracy of task-autonomous robot-assisted implant surgery (RAIS) and dynamic computer-assisted implant surgery (dCAIS) for zygomatic implant placement.
Two-step deep learning models for detection and identification of the manufacturers and types of dental implants on panoramic radiographs.
Odontology
Aug 29, 2024
The purpose of this study is to develop two-step deep learning models that can automatically detect implant regions on panoramic radiographs and identify several types of implants. A total of 1,574 panoramic radiographs containing 3675 implants were ...
Can ChatGPT-4o provide new systematic review ideas to oral and maxillofacial surgeons?
Journal of stomatology, oral and maxillofacial surgery
Jul 26, 2024
OBJECTIVE: This study aims to evaluate the capacity of ChatGPT-4o to generate new systematic review ideas in the field of oral and maxillofacial surgery. The data obtained from this study will provide evidence-based information to oral and maxillofac...
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