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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Rüdiger von Eisenhart-Rothe

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4 papers indexed here

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Open access Sep 2026

Detection of previous knee injuries using lower limb-worn inertial measurement units: A cross-sectional machine-learning study.

PURPOSE Previous knee injury increases the risk of subsequent injury, even after functional recovery, yet residual gait, running or load alterations often go undetected in routine assessment. Wearable inertial measurement units (IMUs) may enable scalable detection of such alterations outside laboratory settings. The pr...

Christina Valle, M. Cotic, M. Bartelt et al. · 0 citations
Editorial Open access Sep 2026

The right measure for the right question: A framework for domain-matched patient-reported outcome measure selection in knee arthroplasty research.

Patient-reported outcome measures (PROMs) are one of the primary tools for evaluating outcomes in knee arthroplasty research. Yet, they are frequently selected by convention rather than scientific rationale. The available instruments differ substantially in their measurement domains, spanning joint-specific symptoms an...

Lorenz Pichler, M. El Kayali, R. von Eisenhart-Rothe et al. · 0 citations
Review Open access Aug 2026

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review.

DL models demonstrate proof-of-concept for predicting KOA progression but require substantial improvements before clinical deployment, including rigorous multi-site validation and models that effectively leverage multimodal and longitudinal data.

Amna Gillani, R. von Eisenhart-Rothe, K. Woertler et al. · 1 citation
Review Aug 2026

Computerassistierte Sensorik bei periprothetischen Gelenkinfektionen

The current evidence on wearables in arthroplasty with a focus on PJI is summarized and key requirements for clinical utility, validation, data security, and implementation are discussed.

Maximilian Weyer, Christina Valle, R. Smits et al. · 0 citations

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