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Author

M. Hirschmann

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Review Open access Sep 2026

Select large language models outperform hip preservation experts on consensus-based hip preservation questionnaire.

PURPOSE Artificial intelligence (AI) is increasingly utilized in medical education and clinical contexts, yet few studies compare the performance of large language models (LLMs) to subspecialized experts in providing guideline-based medical information on hip preservation. The purpose of this study was to evaluate the...

Karter Morris, F. Öttl, James A. Pruneski et al. · 0 citations
Review Open access Oct 2026

EP4.9 Comparing Artificial Intelligence Performance to Hip Preservation Experts on Consensus-Based Hip Preservation Questionnaire

Evaluating the performance of three AI platforms versus a panel of international hip preservation experts in answering guideline-based questions related to femoroacetabular impingement syndrome, hip dysplasia, and microinstability of the hip shows that the knowledge of AI is rapidly approaching and/or exceeding that of...

Karter Morris, F. Öttl, James A. Pruneski et al. · 0 citations
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
Open access Sep 2026

Not all previous surgeries are the same: Procedure-specific infection risk in total knee arthroplasty patients with a history of previous knee surgery.

Prior ipsilateral knee surgery is associated with procedure-specific and cumulative risk of revision for infection after TKA, supporting the integration of prior surgical history into preoperative risk stratification protocols.

Randa Elsheikh, Felix Amsler, Christian Brand et al. · 0 citations
Open access Sep 2026

Improved function and patient satisfaction with fewer residual symptoms following kinematically versus mechanically aligned total knee arthroplasty: A retrospective study from FP-UCBM Knee Study Group.

PURPOSE To compare residual symptoms, function and patient satisfaction following unrestricted kinematic alignment (KA) versus mechanical alignment (MA) in primary total knee arthroplasty (TKA). It was hypothesized that KA would reduce residual symptoms and improve function and satisfaction. METHODS A retrospective c...

Stefano Campi, G. Giurazza, E. Franceschetti 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
Open access Jul 2026

Four general-purpose large language models (ChatGPT-5, Claude 4, Grok 4 and Gemini 2.5) show comparable performance in specialised total knee arthroplasty clinical questions.

Four general-purpose large language models (ChatGPT-5, Claude 4, Grok 4 and Gemini 2.5) demonstrated good overall performance when addressing specialised clinical questions related to total knee arthroplasty derived from the WEMA.

Oriol Pujol, R. Ferrer, Alex Coelho et al. · 1 citation

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