Dynamic ultrasound motion metrics combined with deep learning for clinical differentiation of subacromial impingement syndrome.

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Bibliographic Details
Title: Dynamic ultrasound motion metrics combined with deep learning for clinical differentiation of subacromial impingement syndrome.
Authors: Shu YC; Institute of Applied Mechanics, College of Engineering, National Taiwan University, Taipei, Taiwan., Ho WH; Institute of Applied Mechanics, College of Engineering, National Taiwan University, Taipei, Taiwan., Chang LL; Institute of Applied Mechanics, College of Engineering, National Taiwan University, Taipei, Taiwan., Lin CY; Institute of Applied Mechanics, College of Engineering, National Taiwan University, Taipei, Taiwan., Chen LR; Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch, Taipei, Taiwan., Wu WT; Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch, Taipei, Taiwan.; Department of Physical Medicine and Rehabilitation, National Taiwan University College of Medicine, Taipei, Taiwan., Gonzalez-Suarez CB; Research Center for Health Science, University of Santo Tomas, Manila, Philippines.; Department of Physical Medicine and Rehabilitation, Our Lady of Lourdes Hospital, Manila, Philippines., Özçakar L; Department of Physical and Rehabilitation Medicine, Hacettepe University Medical School, Ankara, Turkey., Chang KV; Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch, Taipei, Taiwan. kvchang011@gmail.com.; Department of Physical Medicine and Rehabilitation, National Taiwan University College of Medicine, Taipei, Taiwan. kvchang011@gmail.com.; Center for Regional Anesthesia and Pain Medicine, Wang-Fang Hospital, Taipei Medical University, Taipei, Taiwan. kvchang011@gmail.com.
Source: La Radiologia medica [Radiol Med] 2026 May; Vol. 131 (5), pp. 845-854. Date of Electronic Publication: 2026 Feb 11.
Publication Type: Journal Article
Journal Info: Publisher: Springer Milan Country of Publication: Italy NLM ID: 0177625 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1826-6983 (Electronic) Linking ISSN: 00338362 NLM ISO Abbreviation: Radiol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1826-6983
DOI:10.1007/s11547-026-02188-y