Back

Volume 43 , Issue 3
May/June 2023
Pages 363–368

Artificial Intelligence in Identifying Dental Implant Systems on Radiographs

Chinhua Y. Hsiao, DMD, MS/Hexin Bai, PhD/Haibin Ling, PhD/Jie Yang, DMD, MS

DOI: 10.11607/prd.5781

Health care is entering a new era where data mining is applied to artificial intelligence. The number of dental implant systems has been increasing worldwide. Patient mobility from different dental offices can make identification of implants for clinicians extremely challenging if there are no past available records, and it would be advantageous to use a reliable tool to identify the various implant system designs in the same practice, as there is a great need for identifying the systems in the field of periodontology and restorative dentistry. However, there have not been any studies devoted to using artificial intelligence/convolutional neural networks to classify implant attributes. Thus, the present study used artificial intelligence to identify the attributes of radiographic images of implants. An average accuracy rate of over 95% was achieved with various machine learning networks to identify three implant manufacturers and their subtypes placed during the past 9 years.

Full Text PDF File | Order Article

 

 

Adobe Acrobat Reader is required to view PDF files. This is a free program available from the Adobe web site.
Follow the download directions on the Adobe web site to get your copy of Adobe Acrobat Reader.