Deep learning algorithms for identifying 79 dental implant types
Author:
Affiliation:
1. Department of Prosthodontics, College of Dentistry, Wonkwang University, Iksan, Republic of Korea
2. HERIBio Co. Ltd., Seoul, Republic of Korea
3. Korea Platform Service Technology Co. Ltd., Daejeon, Republic of Korea
Funder
Ministry of Science and ICT, South Korea
Publisher
Korean Academy of Stomatognathic Function and Occlusion
Subject
General Medicine
Link
http://pdf.medrang.co.kr/JDRAS/2022/038/JDRAS038-04-196.pdf
Reference21 articles.
1. Clinical evaluation of dental implant treatment
2. Romeo E, Lops D, Margutti E, Ghisolfi M, Chiapasco M, Vogel G. Long-term survival and success of oral implants in the treatment of full and partial arches: a 7-year prospective study with the ITI dental implant system. Int J Oral Maxillofac Implants 2004;19:247-59.
3. Clinical Effectiveness of Implant-Supported Removable Partial Dentures—A Review of the Literature and Retrospective Case Evaluation
4. Long-term implant survival and success: a 10-16-year follow-up of non-submerged dental implants
5. Development of an Artificial Intelligence Model to Identify a Dental Implant from a Radiograph
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1. Accuracy of artificial intelligence in implant dentistry: A scoping review with systematic evidence mapping;The Journal of Prosthetic Dentistry;2024-07
2. Advancements in artificial intelligence algorithms for dental implant identification: A systematic review with meta-analysis;The Journal of Prosthetic Dentistry;2023-12
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