Objectives To conduct a scoping review focusing on artificial intelligence (AI) applications in
presurgical dental implant planning. Additionally, to assess the automation degree of …

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 …

Abstract Introduction Training of Artificial Intelligence (AI) for biomedical image analysis
depends on large annotated datasets. This study assessed the efficacy of Active Learning …

Objectives: To develop and validate a novel artificial intelligence (AI) tool for automated
segmentation of mandibular incisive canal on cone beam computed tomography (CBCT) …

Implant dentistry has witnessed a transformative shift with the integration of artificial
intelligence (AI) technologies. This article explores the role of AI in implant dentistry …

Endodontics is the dental specialty foremost concerned with diseases of the pulp and
periradicular tissues. Clinicians often face patients with varying symptoms, must critically …

Objectives To provide an overview of the current artificial intelligence (AI) based applications
for assisting digital data acquisition and implant planning procedures. Overview A review of …

Objectives To investigate the accuracy of artificial intelligence (AI)‐based segmentation of
the mandibular canal, compared to the conventional manual tracing, implementing implant …

Abstract Machine learning (ML) has led to significant advances in dentistry, easing the
workload of professionals and improving the performance of various medical processes. The …

Several recent studies in dentistry and maxillofacial imaging have concentrated on the
Mandibular Canal (MC) segmentation in digital dental radiographs. In this research domain …