AI Dynamic Ultrasound for Shoulder Diagnosis

Source: 國立臺灣大學醫學院附設醫院北護分院 ( Healthcare+ Expo- booth no.: K202)

Shoulder pain is among the most prevalent musculoskeletal conditions worldwide, with subacromial impingement syndrome being a leading cause. Traditional diagnostic approaches rely on static ultrasound images and clinician judgment, which lack objectivity and real-time assessment.

To overcome these limitations, our team developed the world’s first AI Dynamic Ultrasound Diagnostic System for shoulder joints. This system records active shoulder movement, automatically detects key bony landmarks—the acromion and greater tuberosity—and calculates their relative motion to assess impingement risk. By integrating deep learning algorithms trained on medical-grade datasets, it enhances diagnostic consistency and efficiency.

The system generates automated reports and visual metrics to assist in clinical decision-making and patient communication. Ideal for rehabilitation and orthopedic clinics, it can be combined with self-paid treatments such as prolotherapy or hyaluronic acid injections, and integrated into physical therapy programs—providing a comprehensive care solution for shoulder pain.

This innovation has completed multi-center clinical validation and holds potential for future expansion into smart rehabilitation, telemedicine, and preventive healthcare applications, paving the way for a new paradigm in shoulder diagnostics.