Perforation

The aim of this study is to develop and evaluate an artificial intelligence-based model capable of analyzing periapical radiographs of maxillary and mandibular molars to predict the difficulty level of non-surgical root canal retreatment. By integrating deep learning techniques with routinely acquired periapical radiographs, this study aims to enhance diagnostic support, improve clinical decision-making, and facilitate appropriate case selection or referral in endodontic practice.

TRUST Registry is an observational, prospective, long-term, post-market surveillance registry of subjects treated with WallabyPhenox flow modulation devices, stent systems, bifurcation aneurysm implants including their HPC variants (Hydrophilic Polymer Coating) where applicable as well as coil systems, and other adjunctive medical devices. The overarching purpose of this registry is to carry out a proactive gathering, recording, and analysis of data on the safety, performance and usability of the devices as applied within the routine practice of the participating registry sites.