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.


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

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


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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