TY - JOUR A1 - Schütz, Sandra A1 - Huber, A. A1 - Günther, C. A1 - Jordan, A. A1 - Schroeder, U. T1 - Hirn und Persönlichkeit BT - Beziehung als Heilmittel JF - Die Sprachheilarbeit Y1 - 2007 VL - 52 IS - 2 SP - 238 EP - 239 ER - TY - JOUR A1 - Knödler, Leonard A1 - Knoedler, Samuel A1 - Kauke-Navarro, Martin A1 - Knödler, Christoph A1 - Höfer, Simon A1 - Bächer, Helena A1 - Gassner, Ulrich M. A1 - Machens, Hans-Günther A1 - Prantl, Lukas A1 - Panayi, Adriana C. T1 - Three-dimensional Medical Printing and Associated Legal Issues in Plastic Surgery: A Scoping Review JF - Plastic & Reconstructive Surgery-Global Open N2 - Three-dimensional printing (3DP) represents an emerging field of surgery. 3DP can facilitate the plastic surgeon’s workflow, including preoperative planning, intraoperative assistance, and postoperative follow-up. The broad clinical application spectrum stands in contrast to the paucity of research on the legal framework of 3DP. This imbalance poses a potential risk for medical malpractice lawsuits. To address this knowledge gap, we aimed to summarize the current body of legal literature on medical 3DP in the US legal system. By combining the promising clinical use of 3DP with its current legal regulations, plastic surgeons can enhance patient safety and outcomes. Y1 - 2023 U6 - https://doi.org/10.1097/GOX.0000000000004965 SN - 2169-7574 VL - 11 IS - 4 PB - Wolters Kluwer ER - TY - JOUR A1 - Knödler, Leonard A1 - Baecher, Helena A1 - Kauke-Navarro, Martin A1 - Prantl, Lukas A1 - Machens, Hans-Günther A1 - Scheuermann, Philipp A1 - Palm, Christoph A1 - Baumann, Raphael A1 - Kehrer, Andreas A1 - Panayi, Adriana C. A1 - Knoedler, Samuel T1 - Towards a Reliable and Rapid Automated Grading System in Facial Palsy Patients: Facial Palsy Surgery Meets Computer Science JF - Journal of Clinical Medicine N2 - Background: Reliable, time- and cost-effective, and clinician-friendly diagnostic tools are cornerstones in facial palsy (FP) patient management. Different automated FP grading systems have been developed but revealed persisting downsides such as insufficient accuracy and cost-intensive hardware. We aimed to overcome these barriers and programmed an automated grading system for FP patients utilizing the House and Brackmann scale (HBS). Methods: Image datasets of 86 patients seen at the Department of Plastic, Hand, and Reconstructive Surgery at the University Hospital Regensburg, Germany, between June 2017 and May 2021, were used to train the neural network and evaluate its accuracy. Nine facial poses per patient were analyzed by the algorithm. Results: The algorithm showed an accuracy of 100%. Oversampling did not result in altered outcomes, while the direct form displayed superior accuracy levels when compared to the modular classification form (n = 86; 100% vs. 99%). The Early Fusion technique was linked to improved accuracy outcomes in comparison to the Late Fusion and sequential method (n = 86; 100% vs. 96% vs. 97%). Conclusions: Our automated FP grading system combines high-level accuracy with cost- and time-effectiveness. Our algorithm may accelerate the grading process in FP patients and facilitate the FP surgeon’s workflow. Y1 - 2022 U6 - https://doi.org/10.3390/jcm11174998 VL - 11 IS - 17 PB - MDPI CY - Basel ER -