Results 81 to 90 of about 1,119,856 (192)

Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach

Journal of Pharmacy and Bioallied Sciences
This systematic review aims to assess the diagnostic accuracy of artificial intelligence (AI) models specifically developed for detecting and classifying dental caries.
Mohammad Haider
doaj   +1 more source

Finite element analysis of dental structures: the role of mandibular kinematics and model complexity

Frontiers in Dental Medicine
IntroductionThis study observed the consequences of integrating mandibular kinematics in maxillary and mandibular teeth contact in a finite element analysis (FEA), and investigate the level of simplification of the dental models in FEA.
Canan Özcan, Philippe Lestriez, Mutlu Özcan, Yannick Josset   +3 more
doaj   +1 more source

Improving Dental Diagnostics: Enhanced Convolution with Spatial Attention Mechanism [PDF]

arXiv
Deep learning has emerged as a transformative tool in healthcare, offering significant advancements in dental diagnostics by analyzing complex imaging data. This paper presents an enhanced ResNet50 architecture, integrated with the SimAM attention module, to address the challenge of limited contrast in dental images and optimize deep learning ...
arxiv  

Models of Diffusion/Reaction in Dental Plaque

Microbial Ecology in Health & Disease, 1994
I have extended the originally requested title ‘Models of Diffusion in Dental Plaque’ to include reaction, as the two processes are so intimately linked for a system like dental plaque. This applies whether one is simply measuring diffusion or trying to understand its effects.
openaire   +3 more sources

An investigation of the validity of the Bedek models and Cameriere-European formula used in dental age prediction in Turkish children

BMC Oral Health
Background Dental age estimation is one of the most reliable methods for determining age, commonly used for forensic, criminal, and anthropological purposes.
Zekiye Şeyma Gümüşboğa, Gülsüm Duruk, Ecem Özdemir, Tuba Aydan, Ayşe Şuara Kırgın   +4 more
doaj   +1 more source

Transforming Dental Diagnostics with Artificial Intelligence: Advanced Integration of ChatGPT and Large Language Models for Patient Care [PDF]

arXiv
Artificial intelligence has dramatically reshaped our interaction with digital technologies, ushering in an era where advancements in AI algorithms and Large Language Models (LLMs) have natural language processing (NLP) systems like ChatGPT. This study delves into the impact of cutting-edge LLMs, notably OpenAI's ChatGPT, on medical diagnostics, with a
arxiv  

Instance Segmentation and Teeth Classification in Panoramic X-rays [PDF]

arXiv
Teeth segmentation and recognition are critical in various dental applications and dental diagnosis. Automatic and accurate segmentation approaches have been made possible by integrating deep learning models. Although teeth segmentation has been studied in the past, only some techniques were able to effectively classify and segment teeth simultaneously.
arxiv  

Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data. [PDF]

BMC Oral Health
Lashaki RA, Raeisi Z, Razavi N, Goodarzi M, Najafzadeh H.   +4 more
europepmc   +1 more source

Application of machine learning in dentistry: insights, prospects and challenges. [PDF]

Acta Odontol Scand
Wang L, Xu Y, Wang W, Lu Y.
europepmc   +1 more source

Accuracy of artificial intelligence in caries detection: a systematic review and meta-analysis. [PDF]

Head Face Med
Luke AM, Rezallah NNF.
europepmc   +1 more source