Results 111 to 120 of about 46,209 (266)
Balancer‐assisted sling recovery of critical equine patients after general anaesthesia
Equine Veterinary Education, EarlyView.Summary Background Traditional sling‐based systems to assist horses during recovery from general anaesthesia (GA) could be improved by adding a balancer to obtain a dynamic weight relief. Objectives To evaluate the applicability of a novel balancer‐assisted sling system during recovery of horses after GA and to report initial experiences with high‐risk
J. Kuhlmann, C. Spadavecchia, C. Koch
wiley +1 more source
International Endodontic Journal, EarlyView.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
International Endodontic Journal, EarlyView.ABSTRACT Aim To develop a streamlined software workflow for converting cone‐beam computed tomography (CBCT) data into augmented reality (AR) and virtual reality (VR) formats, and to evaluate dental practitioners' perceptions of these advanced visualisation modalities compared to conventional CBCT analysis for endodontic treatment planning.
Marcel Reymus +3 more
wiley +1 more source
Scaling nnU-Net for CBCT Segmentation
This paper presents our approach to scaling the nnU-Net framework for multi-structure segmentation on Cone Beam Computed Tomography (CBCT) images, specifically in the scope of the ToothFairy2 Challenge. We leveraged the nnU-Net ResEnc L model, introducing key modifications to patch size, network topology, and data augmentation strategies to address the
Fabian Isensee +5 more
openaire +2 more sources
International Endodontic Journal, EarlyView.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
International Endodontic Journal, EarlyView.ABSTRACT Background Hypercementosis is a non‐neoplastic condition characterized by excessive cementum deposition along the root surface, resulting in altered apical morphology. Although often asymptomatic and detected incidentally on radiographs, changes in apical contour may influence anatomical complexity in endodontic treatment.
Carlos Segura‐Raya +3 more
wiley +1 more source
International Endodontic Journal, EarlyView.ABSTRACT Aim Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, existing automated approaches often simplify PAI into binary categories or ignore essential clinical metadata, limiting diagnostic performance and applicability.
Jiyun Lee +3 more
wiley +1 more source
Quantitative assessment of CBCT image quality metrics and their translation to clinical Art workflow performance in breast cancer patients. [PDF]
J Appl Clin Med PhysKim S +5 more
europepmc +1 more source
Barriers Toward Better CBCT Knowledge, Attitude, and Practice
Objective: This study attempts to evaluate the knowledge, attitude, and clinical practice of Iraqi dentists toward CBCT use, referral patterns, observed challenges, and the impacts of previous training on its adoption.
Ammar M. Sharki +4 more
core +1 more source