Cone beam computed tomography (CBCT) has become an essential tool in modern
dentistry, allowing dentists to analyze the relationship between teeth and the surrounding …

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

Objectives This article reviews recent advances in computer-aided segmentation methods
for oral and maxillofacial surgery and describes the advantages and limitations of these …

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 …

In recent dentistry research, deep learning techniques have been employed for various
tasks, including detecting and segmenting third molars and inferior alveolar nerves, as well …

Abstract Through the Internet of Medical Things (IoMT), early diagnosis of various critical
diseases has been revolutionized, particularly via sonography in thyroid nodule …

Accurate segmentation of the mandibular canal is essential in dental implant and
maxillofacial surgery, which can help prevent nerve or vascular damage inside the …

Three-dimensional dental models hold significant value for advancing digital oral cavity
development. Tooth segmentation, based on CBCT image analysis, is a pivotal step in …

Accurate 3D localization of the mandibular canal is crucial for the success of digitally-
assisted dental surgeries. Damage to the mandibular canal may result in severe …

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 …