Statement of problem Artificial intelligence (AI) applications are growing in dental implant
procedures. The current expansion and performance of AI models in implant dentistry …

Statement of problem The evidence regarding the application of artificial intelligence (AI) in
identifying dental implant systems is currently inconclusive. The available studies present …

Purpose: The objective of this study was to develop a deep convolutional neural network
(CNN) that would identify the brand and model of a dental implant from a radiograph …

Re-operations and revisions are often performed in patients who have undergone total
shoulder arthroplasty (TSA) and reverse total shoulder arthroplasty (RTSA). This …

A novel algorithm for generating artificial training samples from triangulated three-
dimensional (3D) surface models within the context of dental implant recognition is …

Background: Early recognition of prostheses before reoperation can reduce perioperative
morbidity and mortality. Because of the intricacy of the shoulder biomechanics, accurate …

Statement of problem The use of artificial intelligence (AI) in dentistry has grown. However,
the accuracy of clinical applications in implant dentistry is still unclear. Purpose The purpose …

Artificial Intelligence (AI) is gaining popularity worldwide owing to its significant impact in
science and innovation. The role of AI in prosthodontics has increased significantly in recent …

Abstract Machine learning has played a promising role in medical diagnosis. The aim of this
systematic review was to evaluate the accuracy of machine learning in identification of …

Total shoulder arthroplasty is the process of replacing the damaged ball and socket joint in
the shoulder with a prosthesis made with polyethylene and metal components. The …