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AI technology provides diagnostic support and treatment guidance for fields like orthodontics, implantology, periodontics, and extraction. By analyzing the relationship between the bone and the teeth, it enhances treatment accuracy, improving success rates while minimizing complications during and after procedures.
Accurate estimation of bone graft volume is critical in implant surgery. AI helps doctors calculate the precise amount of bone graft required, reducing the risk of surgical failure due to either insufficient or excessive graft material.
AI aids in assessing bone structure, identifying pathologies, and analyzing the alveolar bone for reliable insights into implant placement and bone graft volume estimation. This offers doctors a solid foundation for precise treatment planning.
With the new T-MAR reduction module for metal artifact removal, the system corrects metal artifacts intelligently. It avoids overmodification and saves the original clinical data.
It can evaluate the bone quality and bone quantity of the implant area, automatically outline the neural tube. Clarifying the relationship between the implant position and the adjacent anatomical structure to accurately select the implant position, the optimal length and diameter of the implant. It can improve the success rate, and avoid possible nerve or blood vessel damage.
In SmartVPro software, doctors can simultaneously view axial, coronal, and sagittal images. The software also allows for customized slice positioning, enabling buccolingual and mesiodistal cross-sections at any desired location. This feature enhances diagnostic convenience by providing comprehensive imaging perspectives.
Visual assessment of bone quality, bringing greater convenience to dentists.
It permits the evaluation of the overall osteogenesis and facilitates the macroscopic observation of the bone condition around implants.
The smallest voxel size reaches 0.05 mm, which is more suitable for the diagnosis of dental pulp disease.
Boosted by the deep learning-based CT reconstruction algorithm, the Smart3D-X can now obtain more defined tomography while further reducing the radiation dose, continuing to raise the industry standard for low-dose control.
It enhances the accuracy and reliability of CT imaging, producing more precise lateral cephalometric images. It also ensures that scan results at different times can be compared and analyzed effectively.
This function can locate the shape of the inferior alveolar nerve in 3D space, as well as the positional relationship between the relative alveolar bone wall, adjacent teeth, and implants, providing a reference for doctors, greatly improving work efficiency and reducing surgical risks.
With bone age analysis, the patient's growth and development level and maturity can be accurately evaluated. It can provide reference for the diagnosis of oral diseases and the selection of orthodontic treatment solution.
The neural network is trained by mega data, which automatically identifies orthodontic anatomical landmark points, draws anatomical structures and outputs measurement reports according to the selected measurement methods.
The display mode of comparing the left and right temporomandibular joints, with the cross positioning line automatically located at the temporomandibular joint, facilitates the diagnosis and treatment of temporomandibular joint diseases by doctors.
Quick segmentation of airway with two modes，automatic and manual, providing accurate imaging information for the discovery and diagnosis of airway diseases.
It accurately evaluates the morphology and position of jaw, as well as provide doctors with reliable anatomical structures.
This leading technology not only provides a high-precision 3D model of the superior maxillary sinus, but also helps doctors to distinguish the position and size, which contributes to customized surgical plans.
This helps doctors accurately locate and identify the position and structure of lingual canals, understanding its anatomical features in the mandible. This is crucial in preventing unexpected bleeding during implant surgeries.
With this feature, doctors can more accurately understand the shape and position of the teeth, diagnose issues such as cavities, tooth deformities, and missing teeth, and provide patients with more precise treatment solutions.
As a tool for doctor-patient communication, AI simulated tooth extraction uses virtual scenarios to demonstrate the tooth extraction procedure and highlight important considerations. It helps patients to understand the treatment process.
By segmenting the patient's oral structure, AI algorithms determine the best position and angle for implant insertion. It controls the risk of implantation, minimizes planning time.
This feature is ideal for multiple teeth, partial, and full-mouth implants. It significantly reduces the time for doctors to design implant surgery plans. It enhances doctor-patient communication efficiency and increases the acceptance of treatment plans.
It assists doctors in quickly and accurately identifying the position, shape, and structure of root canals. This provides more precise diagnostic information and treatment planning, proving essential for root canal treatments, apical surgeries, and other dental procedures.
