Results 111 to 120 of about 4,257 (250)
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
Treatment of Severe Obstructive Sleep Apnea Using Mandibular Advancement Device: A Case Report. [PDF]
Alsaeed S.
europepmc +1 more source
Mandibular Advancement Device for Obstructive Sleep Apnea
Sleep disorder is a public health problem touching 1 billion of people worldwide and mandibular advancement devices therapy, as a modality to continuous positive airway pressure, is now a good alternative for obstructive sleep apnea treatment. Efficacious technic that requires a good follow up and customization.
openaire +1 more source
Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas +9 more
wiley +1 more source
Extended Reality in Endodontics: A Review of Current Applications and Future Potential
ABSTRACT Background Extended reality (XR) technologies, encompassing augmented reality (AR), virtual reality (VR), and mixed reality (MR), are increasingly used in endodontic education and practice. A gap exists regarding understanding of XR's applications and limitations among endodontic educators and practitioners.
Seyed AmirHossein Ourang +6 more
wiley +1 more source
Mandibular Advancement Device (MAD) for Obstructive Sleep Apnea in an Edentulous Patient. [PDF]
Burugpalli A +5 more
europepmc +1 more source
ABSTRACT Background Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested that deep learning (DL) models can be utilized for analysing panoramic radiographs. Objective This review aimed to evaluate the accuracy of DL models in detecting periapical radiolucent lesions (PRLs)
Ibrahim Ali Ahmad +3 more
wiley +1 more source
ABSTRACT Objectives Margin design significantly influences endocrown biomechanical performance. Nevertheless, long‐term clinical data comparing margin designs within a singular zirconia‐reinforced lithium silicate (ZLS) system remain scarce. This study reports the 6‐year follow‐up results of a multicenter, prospective, randomized, assessor‐blinded ...
Ping Xiao +9 more
wiley +1 more source
Comparison of a noncustom vs custom mandibular advancement device to treat obstructive sleep apnea. [PDF]
Levine M +3 more
europepmc +1 more source
ABSTRACT Aim To compare the clinical and radiographic outcomes of partial pulpotomy performed with mineral trioxide aggregate (White MTA Angelus) or a premixed calcium silicate‐based putty cement (NeoPutty) in mature mandibular molars with deep carious lesions and to explore factors associated with treatment outcome.
Alberto Serrano +7 more
wiley +1 more source

