Publications by authors named "Y Keller"
Background: Currently, the data regarding the impact of prehospital postcardiac arrest anesthesia on target hemodynamic and ventilatory parameters of early postresuscitation care and recommendations on its implementation are rare. The present study examines the incidence and impact of prehospital postcardiac arrest anesthesia on hemodynamic and ventilatory target parameters of postresuscitation care.
Methods: In this multicentre observational study between 2019 and 2021 unconscious adult patients after out-of-hospital-cardiac arrest with the presence of a return-of-spontaneous circulation until hospital admission were included.
Phase-change memory (PCM) devices have great potential as multilevel memory cells and artificial synapses for neuromorphic computing hardware. However, their practical use is hampered by resistance drift, a phenomenon commonly attributed to structural relaxation or electronic mechanisms primarily in the context of bulk effects. In this study, we reevaluate the electrical manifestation of resistance drift in sub-100 nm GeSbTe (GST) PCM devices, focusing on the contributions of bulk vs interface effects.
View Article and Find Full Text PDFArticle Synopsis
- An investigation was conducted to assess the impact of midazolam used for post-arrest sedation on achieving essential post-resuscitation care targets and the risk of hemodynamic complications in patients who experienced out-of-hospital cardiac arrest (OHCA).
- The study reviewed emergency rescue missions from 2019-2021 and found that among patients with return of spontaneous circulation (ROSC), those receiving midazolam were more likely to meet recommended targets for blood pressure, oxygen levels, and carbon dioxide levels compared to those who did not receive sedation.
- The results suggest that using midazolam during the pre-hospital phase improves the chances of meeting critical oxygenation and ventilation goals in post-arrest patients, indicating its potential benefit in
Hierarchical Attention-Based Age Estimation and Bias Analysis.
IEEE Trans Pattern Anal Mach Intell
December 2023
In this work, we present a Deep Learning approach to estimate age from facial images. First, we introduce a novel attention-based approach to image augmentation-aggregation, which allows multiple image augmentations to be adaptively aggregated using a Transformer-Encoder. A hierarchical probabilistic regression model is then proposed that combines discrete probabilistic age estimates with an ensemble of regressors.
View Article and Find Full Text PDFBackground: This study evaluates the implementation of postcardiac-arrest-sedation (PCAS) and -care (PRC) by prehospital emergency physicians in Germany.
Materials And Methods: Analysis of a web-based survey from October to November 2022. Questions were asked about implementation, medications used, complications, motivation for implementing or not implementing PCAS, and measures and target parameters of PRC.