Description

Numerous reports from the World Health Organisation and other organizations have clearly identified the increasing endemic burden of healthcare-associated infections and antimicrobial resistant infections. Key among the most preventable of these are infections that are associated with vascular catheters (VCs), in particular those leading to bloodstream infections (BSI) and sepsis. This project aims to systematically appraise the evidence on the topic of prevention of BSI and other infections associated with PIVCs.

Details

Duration 01/03/2023 - 20/10/2023
Funding andere internationale Organisationen
Department

Department for Evidence-based Medicine and Evaluation

Principle investigator for the project (University for Continuing Education Krems) Dr. Andreea Dobrescu, PhD

Publications

Stotter, C.; Klestil, T.; Chen, C.; Hummer, A.; Salzlechner, C.; Angele, P.; Nehrer, S. (2023). Artificial intelligence-based analyses of varus leg alignment and after high tibial osteot-omy show high accuracy and reproducibility. KSSTA, 2023: 10.1007/s00167-023-07644-0

Stotter, Ch.; Klestil, T.; Röder, Ch.; Reuter, P.; Chen, K.; Emprechtinger, R.; Hummer, A.; Salzlechner, Ch.; DiFranco, M.; Nehrer, S. (2023). Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip. Diagnostics (Basel), 29; 13(3): 497

Chen,K.; Stotter, C.; Klestil, T.; Nehrer, S.; (2022). Artificial Intelligence in Orthopedic Radiography Analysis: A Narrative Review. Diagnostics, 12(9):2235: 10.3390/diagnostics12092235