All Issue

2025 Vol.29, Issue 4 Preview Page

Clinical or Case Report

31 December 2025. pp. 215-233
Abstract
References
1

Sahiwal IG, Woody RD, Benson BW, Guillen GE. Radiographic identification of threaded endosseous dental implants. J Prosthet Dent 2002;87:563-77.

10.1067/mpr.2002.124430
2

Guo J, Tsai PW, Xue X, Wu D, Van QT, Kaluarachchi CN, et al. TVGG dental implant identification system. Front Pharmacol 2022;13:948283.

10.3389/fphar.2022.94828336003505PMC9393209
3

Michelinakis G, Sharrock A, Barclay CW. Identification of dental implants through the use of Implant Recognition Software (IRS). Int Dent J 2006;56:203-8.

10.1111/j.1875-595X.2006.tb00095.x
4

Park W, Schwendicke F, Krois J, Huh JK, Lee JH. Identification of dental implant systems using a large-scale multicenter data set. J Dent Res 2023;102:727-33.

10.1177/00220345231160750
5

Howe MS, Keys W, Richards D. Long-term (10-year) dental implant survival: A systematic review and sensitivity meta-analysis. J Dent 2019;84:9-21.

10.1016/j.jdent.2019.03.008
6

Pjetursson BE, Valente NA, Strasding M, Zwahlen M, Liu S, Sailer I. A systematic review of the survival and complication rates of zirconia-ceramic and metal-ceramic single crowns. Clin Oral Implants Res 2018;29:199-214.

10.1111/clr.13306
7

Sailer I, Makarov NA, Thoma DS, Zwahlen M, Pjetursson BE. All-ceramic or metal-ceramic tooth-supported fixed dental prostheses (FDPs)? A systematic review of the survival and complication rates. Part I: Single crowns (SCs). Dent Mater 2015;31:603-23.

10.1016/j.dental.2015.02.011
8

Yu HC, Kim YK. Fractures of implant fixtures: a retroscccpective clinical study. Maxillofac Plast Reconstr Surg 2020;42:13.

10.1186/s40902-020-00258-332351913PMC7183517
9

De Angelis F, Papi P, Mencio F, Rosella D, Di Carlo S, Pompa G. Implant survival and success rates in patients with risk factors: results from a long-term retrospective study with a 10 to 18 years follow-up. Eur Rev Med Pharmacol Sci 2017;21:433-7.

28239830
10

Masaki C, Kondo Y, Tomoeda K, Nodai T, Munemasa T, Mukaibo T, et al. Treatment strategies for dental implant removal: A literature review. Jpn Dent Sci Rev 2024;60:120-7.

10.1016/j.jdsr.2024.01.00239444488PMC11497076
11

Kadkhodazadeh M, Amid R, Moscowchi A, Lakmazaheri E. Short-term and long-term success and survival rates of implants supporting single-unit and multiunit fixed prostheses: A systematic review and meta-analysis. J Prosthet Dent 2024;132:1226-36.

10.1016/j.prosdent.2022.12.012
12

Ibraheem WI. Accuracy of artificial intelligence models in dental implant fixture identification and classification from radiographs: A systematic review. Diagnostics (Basel) 2024;14:806.

10.3390/diagnostics1408080638667452PMC11049199
13

Lee JH, Kim YT, Lee JB. Identification of dental implant systems from low-quality and distorted dental radiographs using AI trained on a large multi-center dataset. Sci Rep 2024;14:12606.

10.1038/s41598-024-63422-z38824187PMC11144187
14

Benakatti V, Nayakar RP, Anandhalli M, Sukhasare R. Advanced deep learning techniques for recognition of dental implants. J Oral Biol Craniofacial Res 2025;15:215-20.

10.1016/j.jobcr.2025.01.01640008072PMC11849603
15

Benakatti VB, Nayakar RP, Anandhalli M. Machine learning for identification of dental implant systems based on shape - A descriptive study. J Indian Prosthodont Soc 2021;21:405-11.

10.4103/jips.jips_324_2134810369PMC8617441
1

Sahiwal IG, Woody RD, Benson BW, Guillen GE. Radiographic identification of threaded endosseous dental implants. J Prosthet Dent 2002;87:563-77.

10.1067/mpr.2002.124430
2

Guo J, Tsai PW, Xue X, Wu D, Van QT, Kaluarachchi CN, et al. TVGG dental implant identification system. Front Pharmacol 2022;13:948283.

10.3389/fphar.2022.94828336003505PMC9393209
3

Michelinakis G, Sharrock A, Barclay CW. Identification of dental implants through the use of Implant Recognition Software (IRS). Int Dent J 2006;56:203-8.

10.1111/j.1875-595X.2006.tb00095.x
4

Park W, Schwendicke F, Krois J, Huh JK, Lee JH. Identification of dental implant systems using a large-scale multicenter data set. J Dent Res 2023;102:727-33.

10.1177/00220345231160750
5

Howe MS, Keys W, Richards D. Long-term (10-year) dental implant survival: A systematic review and sensitivity meta-analysis. J Dent 2019;84:9-21.

10.1016/j.jdent.2019.03.008
6

Pjetursson BE, Valente NA, Strasding M, Zwahlen M, Liu S, Sailer I. A systematic review of the survival and complication rates of zirconia-ceramic and metal-ceramic single crowns. Clin Oral Implants Res 2018;29:199-214.

10.1111/clr.13306
7

Sailer I, Makarov NA, Thoma DS, Zwahlen M, Pjetursson BE. All-ceramic or metal-ceramic tooth-supported fixed dental prostheses (FDPs)? A systematic review of the survival and complication rates. Part I: Single crowns (SCs). Dent Mater 2015;31:603-23.

10.1016/j.dental.2015.02.011
8

Yu HC, Kim YK. Fractures of implant fixtures: a retroscccpective clinical study. Maxillofac Plast Reconstr Surg 2020;42:13.

10.1186/s40902-020-00258-332351913PMC7183517
9

De Angelis F, Papi P, Mencio F, Rosella D, Di Carlo S, Pompa G. Implant survival and success rates in patients with risk factors: results from a long-term retrospective study with a 10 to 18 years follow-up. Eur Rev Med Pharmacol Sci 2017;21:433-7.

28239830
10

Masaki C, Kondo Y, Tomoeda K, Nodai T, Munemasa T, Mukaibo T, et al. Treatment strategies for dental implant removal: A literature review. Jpn Dent Sci Rev 2024;60:120-7.

10.1016/j.jdsr.2024.01.00239444488PMC11497076
11

Kadkhodazadeh M, Amid R, Moscowchi A, Lakmazaheri E. Short-term and long-term success and survival rates of implants supporting single-unit and multiunit fixed prostheses: A systematic review and meta-analysis. J Prosthet Dent 2024;132:1226-36.

10.1016/j.prosdent.2022.12.012
12

Ibraheem WI. Accuracy of artificial intelligence models in dental implant fixture identification and classification from radiographs: A systematic review. Diagnostics (Basel) 2024;14:806.

10.3390/diagnostics1408080638667452PMC11049199
13

Lee JH, Kim YT, Lee JB. Identification of dental implant systems from low-quality and distorted dental radiographs using AI trained on a large multi-center dataset. Sci Rep 2024;14:12606.

10.1038/s41598-024-63422-z38824187PMC11144187
14

Benakatti V, Nayakar RP, Anandhalli M, Sukhasare R. Advanced deep learning techniques for recognition of dental implants. J Oral Biol Craniofacial Res 2025;15:215-20.

10.1016/j.jobcr.2025.01.01640008072PMC11849603
15

Benakatti VB, Nayakar RP, Anandhalli M. Machine learning for identification of dental implant systems based on shape - A descriptive study. J Indian Prosthodont Soc 2021;21:405-11.

10.4103/jips.jips_324_2134810369PMC8617441
Information
  • Publisher :The Korean Academy of Oral & Maxillofacial Implantology
  • Publisher(Ko) :대한구강악안면임플란트학회
  • Journal Title :Journal of implantology and applied sciences
  • Journal Title(Ko) :대한구강악안면임플란트학회지
  • Volume : 29
  • No :4
  • Pages :215-233
  • Received Date : 2025-08-20
  • Revised Date : 2025-11-24
  • Accepted Date : 2025-11-30