Results 101 to 110 of about 36,154 (268)
Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement
Abstract Background Assessing radiographic bone condition is important for periodontal diagnosis. The accuracy of radiographic interpretation depends highly on a clinician's experience and knowledge. This study aimed to develop a deep learning‐based online platform that aids clinicians in diagnosing periodontitis based on periapical radiographs and to ...
Chun‐Teh Lee +9 more
wiley +1 more source
Use of ultrasonography in assessing peri‐implant osseous defects: An in vitro study
Abstract Background The purpose of this study is to investigate the feasibility and diagnostic accuracy of ultrasonography in peri‐implant defect identification and evaluation, and to compare ultrasonography (USG) with cone‐beam computed tomography (CBCT) in defect identification and evaluation in an in vitro model.
Melissa Rachel Fok +4 more
wiley +1 more source
Abstract Background The primary aim of this study was to evaluate histologic wound healing of demineralized freeze‐dried bone allograft (DFDBA), in particulate (P) or fiber (F) form, in combination with deproteinized bovine bone mineral (DBBM) for maxillary sinus floor augmentation.
Kathryn Gabel +3 more
wiley +1 more source
Synchrotron‐Based Deep Learning Network of the Inner Ear: Development and Expert Validation
A deep learning network to automatically segment the inner ear from preoperative clinical scans was developed using synchrotron‐radiation phase contrast imaging (SR‐PCI). On an unseen test set, the network significantly outperformed seven expert otologists/radiologists, the mean expert segmentation, and a simultaneous truth and performance level ...
Ashley Micuda +11 more
wiley +1 more source
Abstract Objective To quantify the cumulative number of images needed to scan (NNS) with preoperative high‐resolution temporal bone computed tomography (HR‐TBCT) to yield a change in management in patients undergoing primary stapes surgery for otosclerosis‐related hearing loss. Study Design Retrospective cohort.
Omer J. Ungar +8 more
wiley +1 more source
Abstract Objective To investigate effects of repeated training with anatomically varied versus identical 3D‐printed models on skill acquisition, cognitive load, and skill retention in novice mastoidectomy trainees. Study Design A prospective, randomized, controlled, educational trial conducted April to September 2024 including a 3‐month retention test.
Adam Omari +4 more
wiley +1 more source
Utilizing RegGAN‐generated synthetic CTs, this study evaluates the dosimetric robustness of physical versus virtual bolus strategies in breast VMAT. Results indicate that the virtual bolus method provides comparable plan quality with superior robustness for target coverage homogeneity against daily anatomical variations.
Yong Sang +5 more
wiley +1 more source
ABSTRACT Background When planning prostate radiotherapy, full bladder preparation is widely used to displace bowel and bladder from high‐dose regions but is difficult to reproduce and can prolong workflows. Methods Twenty men with localised prostate cancer ± seminal vesicles underwent CT simulation with full and empty bladders.
Rebecca Louise Nield +3 more
wiley +1 more source
What Outcomes Matter in Vital Pulp Therapy? Current Concepts and Challenges
ABSTRACT Vital pulp therapy (VPT) has re‐emerged as a practical and biologically sound alternative for managing deep caries and carious pulp exposures. Although its clinical use is now widespread, the outcomes used to judge the success of VPT remain inconsistent and often difficult to compare across studies.
Philip Yuan‐Ho Chien +5 more
wiley +1 more source

