Description

The project „Artificial intelligence in orthopedic radiography analysis” aims to further develop the AI technology for orthopedic use. Based on clinical problems, computer-aided detection and deep learning technology will be used to analyze standard 2D xrays. Fully automated measurements will be further developed and optimized and compared to gold-standard techniques.

Details

Duration 01/03/2022 - 28/02/2025
Funding Bundesländer (inkl. deren Stiftungen und Einrichtungen)
Program
GFNÖ
Department

Department for Health Sciences, Medicine and Research

Center for Regenerative Medicine

Principle investigator for the project (University for Continuing Education Krems) Univ.-Prof. Dr. Stefan Nehrer, MSc
Project members

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

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