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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
ARTIFICIAL INTELLIGENCE IN ORTHODONTIC DIAGNOSIS AND TREATMENT PLANNING - AN OVERVIEW
Authors
Dr. Afritha Noureen, Dr. Anusre A, Dr. Premila D, Dr. M.K.Karthikeyan, Dr. Rajkumar P
Keywords
Artificial intelligence; Artificial neural networks; Automated orthodontic diagnosis; Deep learning; Machine learning.
Abstract
Orthodontic diagnosis is a comprehensive process that incorporates numerous data from the facial and occlusal structure as well as the requirements of the patient. Because of this, it is difficult to imagine if artificial intelligence (AI) would ever completely replace the current conventional diagnostic procedure. However, new developments in machine learning and artificial intelligence have been used to automate image recognition for cephalometric tracing and model analysis, demonstrating a reasonably high reliability. Based on collective experiences and research findings, orthodontic diagnostics has made a small progress toward automated processes. This review's objective was to provide information on the scope and effectiveness of artificial intelligence-based models that have been extensively employed in orthodontic diagnosis, treatment planning, and prognosis prediction.
IJCRT's Publication Details
Unique Identification Number - IJCRT2210492
Paper ID - 226999
Page Number(s) - e233-e244
Pubished in - Volume 10 | Issue 10 | October 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Dr. Afritha Noureen, Dr. Anusre A, Dr. Premila D, Dr. M.K.Karthikeyan, Dr. Rajkumar P, "ARTIFICIAL INTELLIGENCE IN ORTHODONTIC DIAGNOSIS AND TREATMENT PLANNING - AN OVERVIEW", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 10, pp.e233-e244, October 2022, Available at :http://www.ijcrt.org/papers/IJCRT2210492.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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