Author

F. Öttl

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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. · Knee Surgery, Sports Traumat... · 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. · Journal of Hip Preservation... · 0 citations

Preprint Jul 2026

MedSAM2-Anatomy: Training-Free Inference-Time Optimization for Musculoskeletal Segmentation

High-resolution 3D segmentation of hip and shoulder anatomy from CT and MRI is essential for surgical planning, yet frozen segmentation models often fail under domain shift. CNN-based expert models are fully automatic but lack adaptability, whereas promptable foundation models generalize better but require manual promp...

J. G. Henao, Nicholas Bünger, B. Herzog et al. · 0 citations