Literature DB >> 16972394

Identification of dental implants through the use of Implant Recognition Software (IRS).

G Michelinakis1, A Sharrock, C W Barclay.   

Abstract

AIM: To develop computer software to allow general dental practitioners and others to identify unidentified implants in patients' mouths using a range of criteria.
METHODS: Internet searches for implant manufacturing companies worldwide in all languages using terms: dental implants, dental implant manufacturers and dental implant companies. Once identified, all relevant information including images regarding dental implant products was collected even that for discontinued products. A program was then devised using key design factors to enable identification of individual implants.
RESULTS: The searches produced details for 87 implant manufacturers based in 21 countries with 231 different implant designs. The resultant program has been successfully trialled and used in both general dental practice and for forensic identification.
CONCLUSION: The program developed provides a valuable adjunct to the identification of implant systems present in patients' mouths.

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Year:  2006        PMID: 16972394     DOI: 10.1111/j.1875-595x.2006.tb00095.x

Source DB:  PubMed          Journal:  Int Dent J        ISSN: 0020-6539            Impact factor:   2.512


  8 in total

1.  A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study.

Authors:  Jae-Hong Lee; Young-Taek Kim; Jong-Bin Lee; Seong-Nyum Jeong
Journal:  Diagnostics (Basel)       Date:  2020-11-07

2.  Machine learning for identification of dental implant systems based on shape - A descriptive study.

Authors:  Veena Basappa Benakatti; Ramesh P Nayakar; Mallikarjun Anandhalli
Journal:  J Indian Prosthodont Soc       Date:  2021 Oct-Dec

3.  Design and Evaluation of Web-Based Dental Implant Registry (DIR) for Better Clinical Outcomes.

Authors:  Roya Naemi; Majid Jangi; Hamid Reza Barikani; Leila Shahmoradi
Journal:  Int J Biomater       Date:  2022-02-11

4.  Transfer learning in a deep convolutional neural network for implant fixture classification: A pilot study.

Authors:  Hak-Sun Kim; Eun-Gyu Ha; Young Hyun Kim; Kug Jin Jeon; Chena Lee; Sang-Sun Han
Journal:  Imaging Sci Dent       Date:  2022-03-15

5.  Physicochemical and Antibacterial Characterization of a Novel Fluorapatite Coating.

Authors:  Ahmed Alhilou; Thuy Do; Laith Mizban; Brian H Clarkson; David J Wood; Maria G Katsikogianni
Journal:  ACS Omega       Date:  2016-08-26

Review 6.  Forensic dentistry: Adding a perio 'scope' to it!

Authors:  Deepti Rakesh Gattani; Snehal Prabhakar Deotale
Journal:  J Indian Soc Periodontol       Date:  2016 Sep-Oct

7.  Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study.

Authors:  Jae-Hong Lee; Seong-Nyum Jeong
Journal:  Medicine (Baltimore)       Date:  2020-06-26       Impact factor: 1.817

8.  Transfer Learning via Deep Neural Networks for Implant Fixture System Classification Using Periapical Radiographs.

Authors:  Jong-Eun Kim; Na-Eun Nam; June-Sung Shim; Yun-Hoa Jung; Bong-Hae Cho; Jae Joon Hwang
Journal:  J Clin Med       Date:  2020-04-14       Impact factor: 4.241

  8 in total

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