Validity and robustness of an AI-based tool for the assessment of shoulder joint range of motion in patients with shoulder pathologies.

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Bibliographic Details
Title: Validity and robustness of an AI-based tool for the assessment of shoulder joint range of motion in patients with shoulder pathologies.
Authors: Willi R; Human Performance Lab, Schulthess Klinik, Zürich, Switzerland., Schulz E; Kardinal Schwarzenberg Klinikum, Schwarzach im Pongau, Austria., Rode D; Sensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems (IRIS), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich, Switzerland., Schneller T; Department for Shoulder and Elbow Surgery, Schulthess Klinik, Zürich, Switzerland., Moroder P; Department for Shoulder and Elbow Surgery, Schulthess Klinik, Zürich, Switzerland., Audigé L; Surgical Outcome Research Center, University Hospital Basel, University of Basel, Basel, Switzerland.; Research and Development Department, Schulthess Klinik, Zürich, Switzerland., Bizzini M; Human Performance Lab, Schulthess Klinik, Zürich, Switzerland., Maffiuletti NA; Human Performance Lab, Schulthess Klinik, Zürich, Switzerland.
Source: Shoulder & elbow [Shoulder Elbow] 2026 Jul 14, pp. 17585732261468616. Date of Electronic Publication: 2026 Jul 14.
Publication Type: Journal Article
Journal Info: Publisher: Sage Country of Publication: United States NLM ID: 101506589 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1758-5732 (Print) Linking ISSN: 17585732 NLM ISO Abbreviation: Shoulder Elbow
Database: MEDLINE Ultimate
Description
ISSN:1758-5732
DOI:10.1177/17585732261468616