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AI may accurately classify dental implant brands and estimate implant angles on panoramic radiographs
AI may accurately classify dental implant brands and estimate implant angles on panoramic radiographs suggests a new study published in The Journal of Prosthetic Dentistry
Determining the brand and angle of an implant clinically or radiographically can be challenging. Whether artificial intelligence can assist is unclear.
The purpose of the present study was to determine the brand and angle of implants from panoramic radiographs with artificial intelligence.
Panoramic radiographs were used to classify the accuracy of different dental implant brands through deep convolutional neural networks (CNNs) with transfer-learning strategies. The implant classification performance of 5 deep CNN models was evaluated using a total of 11 904 images of 5 different implant types extracted from 2634 radiographs. In addition, the angle of implant images was estimated by calculating the angle of 2634 implant images by applying a regression model based on deep CNN.
RESULTS
Among the 5 deep CNN models, the highest performance was obtained in the Visual Geometry Group (VGG)-19 model with a 98.3% accuracy rate. By applying a fusion approach based on majority voting, the accuracy rate was slightly improved to 98.9%. In addition, the root mean square error value of 2.91 degrees was obtained as a result of the regression model used in the implant angle estimation problem.
Implant images from panoramic radiographs could be classified with a high accuracy, and their angles estimated with a low mean error.
Reference:
Burcu Tiryaki, Alper Ozdogan, Mustafa Taha Guller, Ozkan Miloglu, Emin Argun Oral, Ibrahim Yucel Ozbek. Dental implant brand and angle identification using deep neural networks. The Journal of Prosthetic Dentistry. 2023. ISSN 0022-3913. https://doi.org/10.1016/j.prosdent.2023.07.022.
(https://www.sciencedirect.com/science/article/pii/S0022391323004924)
Keywords:
AI, accurately, classify, dental, implant, brands, estimate, implant, angles, panoramic radiographs, Burcu Tiryaki, Alper Ozdogan, Mustafa Taha Guller, Ozkan Miloglu, Emin Argun Oral, Ibrahim Yucel Ozbek
Dr. Shravani Dali has completed her BDS from Pravara institute of medical sciences, loni. Following which she extensively worked in the healthcare sector for 2+ years. She has been actively involved in writing blogs in field of health and wellness. Currently she is pursuing her Masters of public health-health administration from Tata institute of social sciences. She can be contacted at editorial@medicaldialogues.in.
Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751