The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …

Dental caries is one of the oral health problems and the most common chronic infectious
disease of childhood, and neural networks and artificial intelligence are increasingly being …

Objective The aim of this work was to assemble a large annotated dataset of bitewing
radiographs and to use convolutional neural networks to automate the detection of dental …

Objective Aim to establish a multimodal model for predicting severe acute pancreatitis (SAP)
using machine learning (ML) and deep learning (DL). Methods In this multicentre …

The study aimed to evaluate the impact of image size, area of detection (IoU) thresholds and
confidence thresholds on the performance of the YOLO models in the detection of dental …

The accuracy of artificial intelligence-aided (AI) caries diagnosis can vary considerably
depending on numerous factors. This review aimed to assess the diagnostic accuracy of AI …

Dental caries occurs from the interaction between oral bacteria and sugars, generating acids
that damage teeth over time. The importance of X-ray images for detecting oral problems is …

The diagnosis and management of dental caries, a prevalent global oral health issue, have
traditionally depended on clinical examination and the interpretation of radiographic images …

Tooth decay is a common oral disease worldwide, but errors in diagnosis can often be made
in dental clinics, which can lead to a delay in treatment. This study aims to use artificial …

In the dental world, early detection of different oral lesions is vital to carry out an accurate
and precise treatment to care for the patient's health. However, it is not always possible for …