Publications by authors named "Carlos Ivorra"

To investigate the reliability of panoramic dental images to detect calcified carotid atheroma, electronic databases (PubMed, IEEE/Xplore and Embase) were searched. Outcomes included cerebrovascular disease events, cardiovascular disease events, patient previous diseases, and combined endpoints. Risk of bias was evaluated using the Newcastle-Ottawa Scale.

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Analysis of dental radiographs and images is an important and common part of the diagnostic process in daily clinical practice. During the diagnostic process, the dentist must interpret, among others, tooth numbering. This study is aimed at proposing a convolutional neural network (CNN) that performs this task automatically for panoramic radiographs.

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Dental radiography plays an important role in clinical diagnosis, treatment and making decisions. In recent years, efforts have been made on developing techniques to detect objects in images. The aim of this study was to detect the absence or presence of teeth using an effective convolutional neural network, which reduces calculation times and has success rates greater than 95%.

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Dental caries is the most prevalent dental disease worldwide, and neural networks and artificial intelligence are increasingly being used in the field of dentistry. This systematic review aims to identify the state of the art of neural networks in caries detection and diagnosis. A search was conducted in PubMed, Institute of Electrical and Electronics Engineers (IEEE) Xplore, and ScienceDirect.

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To evaluate the bending and torsional properties of four nickel-titanium endodontic files, we simulated and compared WaveOne® primary size 25 with 0.07 taper, WaveOne Gold® primary size 25 with 0.07 taper, Reciproc® primary size 25 with 0.

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Purpose: The purpose of this study was to evaluate the outcome after 5 years of allografts as bone growth material and success of implants inserted in fresh-frozen allograft bone.

Materials And Methods: A total of 20 patients were operated and 41 onlay block freeze-dried allografts (calvarial and iliac crest) were inserted for bone augmentation. A total of 64 dental implants were performed in a two-stage procedure.

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Synopsis of recent research by authors named "Carlos Ivorra"

  • - Carlos Ivorra's recent research focuses on the application of artificial intelligence and neural networks in the field of dentistry, particularly for the analysis and interpretation of dental images.
  • - His studies include systematic reviews and the development of convolutional neural networks (CNNs) aimed at automating tasks such as tooth numbering and detecting the presence or absence of teeth in panoramic radiographs.
  • - Ivorra's work also investigates the efficacy of panoramic images for detecting calcified carotid atheroma and evaluates the mechanical properties of endodontic files, contributing to advancements in clinical diagnostics and materials used in dental practices.