Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …

In the last few years, artificial intelligence (AI) research has been rapidly developing and
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …

Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals
based on one's biological, social, and behavioral characteristics. While personalized dental …

Attenuation correction (AC) is essential for the generation of artifact-free and quantitatively
accurate positron emission tomography (PET) images. PET AC based on computed …

Photoacoustic computed tomography (PACT) has become a promising imaging modality
from laboratory to clinical research. Of many components of PACT system, the ultrasound …

Machine learning (ML) is being increasingly employed in dental research and application.
We aimed to systematically compile studies using ML in dentistry and assess their …

Objectives The susceptibility of CT imaging to metallic objects gives rise to strong streak
artefacts and skewed information about the attenuation medium around the metallic …

Photoacoustic imaging (PAI) is an emerging hybrid imaging modality integrating the benefits
of both optical and ultrasound imaging. Although PAI exhibits superior imaging capabilities …

In oral surgery, accurate segmentation of the teeth has critical significance for the
orthodontic treatment and research. However, in the cone beam computed tomography …

To reduce the potential risk of radiation to the patient, low-dose computed tomography
(LDCT) has been widely adopted in clinical practice for reconstructing cross-sectional …