Results 151 to 160 of about 1,779,847 (297)
ABSTRACT Aim Artificial intelligence (AI) has the potential to aid clinicians in assessing case difficulty in endodontics. The objectives of this study were to develop and validate deep learning models for the detection of clinically negotiable MB2 canals in periapical images of maxillary first and second molars, and to compare the performance of AI ...
Seyed AmirHossein Ourang +8 more
wiley +1 more source
Dual-scan conformal cone-beam CT for targeted image-quality improvement using dynamic collimation. [PDF]
Liu Y, Yuan S, Feng X, Dai J.
europepmc +1 more source
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi +6 more
wiley +1 more source
Cone Beam CT szerepe a fogászati radiológiában
Diplomadolgozatom célja a fogászati radiológia jelenleg legfejlettebb képalkotó eljárása, a Cone Beam CT bemutatása, amely a fogászat és a szájsebészet számos területén egyre fontosabb szerepet tölt be.
Füry, Szilvia
core
What If the External Crown Surface of Teeth Could Predict the Pulp Chamber? A DeepSDF‐Based Approach
ABSTRACT Aim Spatial localisation of the pulp chamber is critical for safe and effective dental treatments. This study aimed to assess the performances of DeepSDF models to predict the 3D pulp chamber space and cervical line of molars using only external crown surfaces.
Elias Walter +12 more
wiley +1 more source
Intraoperative cone-beam CT for real-time quality control in CSF shunt surgery: a prospective workflow study. [PDF]
Qasem LE +9 more
europepmc +1 more source
ABSTRACT Aim Artificial intelligence (AI) has the potential to reshape the healthcare industry, particularly in disease detection, diagnosis and management, as well as in supporting clinical decision‐making to enhance patient care. However, realising the full potential of AI in healthcare depends on several interrelated factors, including data quality,
Shilpa Thakkar +3 more
wiley +1 more source
ABSTRACT Background The gubernaculum tract (GT) is thought to play a key role in tooth eruption, but its age‐associated radiological characteristics in unerupted permanent teeth remain unclear. Aim To evaluate age‐associated radiological characteristics of the GT on computed tomography (CT) in unerupted maxillary canines in patients aged ≥ 9 years ...
Kozue Iwawaki‐Otsuka +9 more
wiley +1 more source

