Innovative diagnostic framework for shoulder instability: a narrative review on machine learning-enhanced scapular dyskinesis assessment in sports injuries.

Researchers have conducted a comprehensive review examining how shoulder instability—a common condition that significantly affects daily activities and quality of life—relates to abnormal movement patterns of the shoulder blade (scapula). This narrative review explores how the shoulder blade's position and movement are closely connected to shoulder stability problems and rotator cuff injuries. The authors identified that various factors, including poor posture, musculoskeletal imbalances, and nerve-related issues, contribute to abnormal scapular movement patterns that can worsen shoulder instability. Importantly, this review highlights a significant gap in current research: very few studies have investigated how shoulder blade movement changes during shoulder instability rehabilitation. The researchers examined existing clinical assessment tools and explored innovative approaches for evaluating and treating these conditions, including machine learning technologies that could help clinicians better identify abnormal movement patterns. They also investigated how the muscles surrounding the shoulder blade function differently in people with shoulder instability. While this review focused on conventional rehabilitation approaches and diagnostic frameworks, the findings are relevant for acupuncture practitioners who treat shoulder conditions, as understanding the biomechanics and muscle dysfunction patterns can inform treatment planning and point selection. The connection between postural abnormalities, muscle imbalances, and shoulder instability aligns with traditional Chinese medicine concepts of musculoskeletal harmony and proper qi flow through the shoulder region. Patients experiencing shoulder instability should seek evaluation from a qualified, licensed acupuncturist experienced in treating musculoskeletal conditions.

This narrative review systematically examines the relationship between shoulder instability (SI) and scapular dyskinesis (SD), emphasizing the functional alterations in periscapular muscle groups. The authors identified a critical research gap: limited investigation of scapular kinetic changes during SI rehabilitation. Key findings include the correlation between abnormal scapular positioning/movement and both rotator cuff injuries and SI, with multiple etiological factors (postural abnormalities, musculoskeletal disorders, neurological conditions) contributing to SD that compromises shoulder function and stability. The review evaluates current clinical assessment tools and proposes innovative approaches including machine learning algorithms, kinetic chain analysis, and advanced scapular biomechanics assessment for improved diagnostic accuracy. No specific sample sizes or effect sizes are reported as this is a narrative review synthesizing existing literature. Clinical takeaway: Understanding scapular kinetic irregularities and periscapular muscle dysfunction provides essential theoretical foundation for developing comprehensive, effective rehabilitation protocols for SI patients, with potential integration of technology-enhanced assessment methods.