Artificial Intelligence And Digital Technologies To Determine The Timing Of Orthopedic Loading Of Implants
Journal: International Journal of Dentistry and Oral Science (IJDOS) (Vol.08, No. 10)Publication Date: 2021-10-04
Authors : Roman Studenikin Sabukhi Niftaliev.;
Page : 4812-4820
Keywords : Artificial Neural Network; Intraoral Scanner; 3D Printer; Torque Load; Primary Implant Stability.;
Abstract
An innovative technique has been developed for treatment planning and treatment of patients with partial and total loss of teeth using artificial neural networks (ANNs) to optimize and predict the timing of early loading of implants. Predicting the orthopedic loading at all stages of dental treatment makes it possible to speed up the patient's rehabilitation and shorten the treatment time through a combined intelligent, digital, and automated approach. The surgical and orthopedic treatment of 89 patients was performed using this technique. The control group consisted of patients with total and partial secondary adentia, who underwent planning and subsequent surgical and orthopedic treatment according to the traditional procedure. It became possible to accurately predict the loadingofthe implants with a prosthetic restoration and to reduce the period of permanent prosthetics compared to the control group, achieve early osseointegration, and quickly carry out orthopedic rehabilitation of the patient. In most cases, the need for surgery to increase the volume of soft tissue around the implants disappears, which excludes the possibility of causing additional injuries.
Other Latest Articles
- The Efficacy Of Adhesive Tissue Iceberg-Gluein Reducing Post-Operative Bleeding And Pain After Surgical Removal Of Impacted Lower Third Molars: A Randomized Clinical Trial
- An Assessment on pH and Calcium Release of Dycal, Limelite and Biodentine as Cavity Liners
- Various Methods Of Extrusion Of Tooth
- The Assessment of Proficiency in Research Ethics Among Researchers in Academic Institutions
- A Review On The Guidelines For Nutritional Assessment for HNC (Head and Neck Cancer) Patients Managed By Surgery
Last modified: 2021-12-09 22:41:45