Introduction Healthcare amelioration is exponential to technological advancement. In the
recent era of automation, the consolidation of artificial intelligence (AI) in dentistry has …

Please see the Editorial Comment by Hillary W. Garner discussing this article. Fractures are
common injuries that can be difficult to diagnose, with missed fractures accounting for most …

The purpose of this study was to evaluate the performance of convolutional neural network-
based models for the detection and classification of maxillofacial fractures in computed …

Robotics applications in facial plastic surgery has been practical and observed to have
benefits. For instance, minimal invasiveness, small number of incisions, less blood loss …

Facial bone fractures must be diagnosed and treated as early as possible to avoid
complications and sequelae. CT images need to be analyzed to detect fractures, but the …

Background Artificial intelligence technologies in classification/detection of COVID-19
positive cases suffer from generalizability. Moreover, accessing and preparing another large …

In the past decade, deep learning methods have been implemented in the medical image
fields and have achieved good performance. Recently, deep learning algorithms have been …

Computed tomography (CT) is used in a wide range of medical imaging diagnoses.
However, the reconstruction of CT images from raw projection data is inherently complex …

Abstract Three-dimensional (3D) reconstruction of human organs has gained attention in
recent years due to advances in the Internet and graphics processing units. In the coming …

Background A considerable volume of possible applications of artificial intelligence (AI) in
the field of rhinology exists, and research in the area is rapidly evolving. Objective This …