Author

F. Öttl

2 papers indexed here

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Review Open access Oct 2026

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

Abstract Purpose Artificial intelligence (AI) is increasingly utilized in medical education and clinical contexts, yet few studies compare the newest large language models (LLMs) to subspecialized experts on guideline-based medical knowledge. The purpose of this study was to evaluate the performance of three AI platfor...

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