Background In recent years, artificial intelligence (AI) has made remarkable advancements
and achieved significant accomplishments across the entire field of dentistry. Notably, efforts …

Objectives Improved tools based on deep learning can be used to accurately number and
identify teeth. This study aims to review the use of deep learning in tooth numbering and …

Objectives In the interpretation of panoramic radiographs (PRs), the identification and
numbering of teeth is an important part of the correct diagnosis. This study evaluates the …

Background/Objectives: The integration of AI into dentistry holds promise for improving
diagnostic workflows, particularly in the detection of dental pathologies and pre-radiotherapy …

Objectives Artificial Intelligence (AI), particularly deep learning, has significantly impacted
healthcare, including dentistry, by improving diagnostics, treatment planning, and prognosis …

Objectives This study aimed to develop an artificial intelligence (AI)‐based deep learning
model for the detection and numbering of dental implants in panoramic radiographs. The …

Objective To establish a high-precision, automated model using deep learning for the fine
classification and three-dimensional (3D) segmentation of mixed dentition in cone-beam …

Objective: To investigate the effectiveness of using YOLO-v5x in detecting fixed prosthetic
restoration in panoramic radiographs. Study Design: Descriptive study. Place and Duration …

Accurate detection of impacted teeth in panoramic radiographs is critical for effective
diagnosis and treatment planning in dentistry. Traditional segmentation methods often face …

Background: Dental care has been transformed by neural networks, introducing advanced
methods for improving patient outcomes. By leveraging technological innovation, dental …