Results 151 to 160 of about 37,850,061 (283)
ABSTRACT Introduction Current knowledge is insufficient to tailor the intensity of motivational interviewing (MI) to individual patients undergoing a periodontal visit. The present study was designed to evaluate the association between patient characteristics and the clinical and psychological outcomes of MI when the latter is administered at the first
Jenny Guidorzi +7 more
wiley +1 more source
Comparative assessment of CBCT and digital radiography in quantifying periapical pathology (in vitro study). [PDF]
Dahrous A, Abouelkheir HM, Elnadoury EA.
europepmc +1 more source
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
Comparative assessment of occlusal and proximal caries detection using an intraoral scanner and panoramic radiography. [PDF]
Öztürk Tunçel F +4 more
europepmc +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
In Vivo Comparison of Laser Fluorescence, Near-Infrared Transillumination, and Conventional Methods for Approximal Caries Detection. [PDF]
Bingül A, Bala O, Akgül S, Sarı C.
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
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
Digital infrastructure and readiness for artificial intelligence (AI) - enabled dentistry: technology adoption and barriers among dental practitioners in Bengaluru, India. [PDF]
Nagarajappa R +3 more
europepmc +1 more source
Radiographic Intraradicular Reduction of a Calcium Silicate–Based Sealer: Case Reports
ABSTRACT Aim To document radiographically observable intraradicular reduction of AH Plus Bioceramic, a premixed calcium silicate–based sealer (CSBS), during clinical follow‐up after nonsurgical root canal retreatment. Summary Four cases of nonsurgical root canal retreatment performed with a premixed CSBS using a single‐cone obturation technique are ...
Damien Savoure +3 more
wiley +1 more source

