Literature DB >> 33788114

Artificial Intelligence DENTOMO: Opportunities and Prospects for Interpretation of Cone Beam CT in Dentistry.

E A Solovyh1, A A Obrubov2, I Arranz3, F Pérez3, M Tejedor3.   

Abstract

The model of artificial intelligence DENTOMO, which allows automated deciphering the CT in maxillofacial area, was developed and implemented in practical dentistry. The presented model is based on two convolutional neural networks, includes a database and knowledge base, harmonized with SNOMED Clinical Terms is a systematically organized computer processable collection of medical terms providing codes, terms, synonyms and definitions used in clinical documentation and reporting. The developed model automatically decodes cone beam CT images, identifies and classifies the anatomical structures of the human dental system, and reveals the pathological processes and their dynamics in dentistry system. This model generates the medical reports automatically. Testing of DENTOMO model demonstrated a reasonable effectiveness in deciphering the CT of dental system. The developed technology allows computerizing and objectifying interpretation of CT of the dental system.

Entities:  

Keywords:  artificial intelligence; cone-beam computed tomography; convolutional neural networks; dentistry system; machine learning

Mesh:

Year:  2021        PMID: 33788114     DOI: 10.1007/s10517-021-05133-3

Source DB:  PubMed          Journal:  Bull Exp Biol Med        ISSN: 0007-4888            Impact factor:   0.804


  1 in total

Review 1.  Convolutional neural networks for dental image diagnostics: A scoping review.

Authors:  Falk Schwendicke; Tatiana Golla; Martin Dreher; Joachim Krois
Journal:  J Dent       Date:  2019-11-05       Impact factor: 4.379

  1 in total

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