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The canine distemper virus (CDV), a paramyxovirus that is closely related to the human measles virus and rinderpest virus of cattle, is a highly contagious viral disease in dogs and wild carnivores worldwide. CDV represents a serious threat to domestic and wild animals, especially to the conservation of endangered wild carnivores. Our study aims to investigate the occurrence of CDV in free-living wild canines in Croatia. For this purpose, 176 red foxes and 24 jackal brain samples collected in the frame of the active surveillance of rabies during winter 2021/2022 were tested. This study provided the first comprehensive overview of the prevalence and spatial distribution of CDV in the wildlife of Croatia, including the molecular phylogenetic analysis of the H gene sequence of field CDV strains circulating in red fox and jackal populations of Croatia. The molecular characterization of hemagglutinin gene genomic regions confirmed the phylogenetic clustering of obtained sequences into the Europa 1 genotype. The obtained CDV red fox sequences were mutually very similar (97.60%). This study indicates the high genetic similarity of Croatian CDV red fox sequences and CDV red fox sequences from Italy and Germany, badger sequences from Germany, polecat sequences from Hungary, and dog sequences from Hungary and Germany. [ABSTRACT FROM AUTHOR]

Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist searches for polyps. However, there is a potential risk of polyps being missed by the gastroenterologist. Automated detection of polyps helps to assist the gastroenterologist during a colonoscopy. There are already publications examining the problem of polyp detection in the literature. Nevertheless, most of these systems are only used in the research context and are not implemented for clinical application. Therefore, we introduce the first fully open-source automated polyp-detection system scoring best on current benchmark data and implementing it ready for clinical application. To create the polyp-detection system (ENDOMIND-Advanced), we combined our own collected data from different hospitals and practices in Germany with open-source datasets to create a dataset with over 500,000 annotated images. ENDOMIND-Advanced leverages a post-processing technique based on video detection to work in real-time with a stream of images. It is integrated into a prototype ready for application in clinical interventions. We achieve better performance compared to the best system in the literature and score a F1-score of 90.24% on the open-source CVC-VideoClinicDB benchmark. [ABSTRACT FROM AUTHOR]

This paper presents an implementation of an architecture based on open-source solutions using ELK Stack - Elasticsearch, Logstash, and Kibana - for real-time data analysis and visualizations in the Medical Data Integration Center, University Hospital Cologne, Germany. The architecture addresses challenges in handling diverse data sources, ensuring standardized access, and facilitating seamless analysis in real-time, ultimately enhancing the precision, speed, and quality of monitoring processes within the medical informatics domain.

Surveys of pediatricians in Germany report low levels of job satisfaction. Preferably, such subjective reports should be corroborated by objective data regarding physicians' working conditions. However, such data in the field of pediatrics could not be found in the scientific literature. The aim of the present observational field study was to collect exact data about pediatricians' workflow in different pediatric hospital departments to evaluate and to optimize work routines. Data of 697 working hours were collected by using Tablet PCs during weekday shifts at three urban German hospitals. Twenty-five pediatricians were observed separately. A pediatrician's workday lasted on average 9 h and 18 min (SD = 0:53:44 h). The following amount of time was spent on various job tasks within this period: 29.80% (SD = 8.25 %) on meetings, 17.54% (SD = 6.51%) on documentation duties, 12.65% (SD = 3.73%) on indirect patient care, 9.22 % (SD = 5.74%) on hospital admissions and ward rounds and 4.03% (SD = 2.49%) on direct patient care. This is the first objective task analysis of physicians' workflow in pediatric hospital wards. Some of the physicians' self-reported problems were verified. Improvements in work organization and a new allocation of responsibilities among the medical staff may prove helpful in improving the quality of patient care by reducing the burden on pediatricians. [ABSTRACT FROM AUTHOR]