AI-navigated shoulder injection: precision, real-time learning and clinical translation

Area of Science:

• Orthopedics
• Medical Imaging
• Artificial Intelligence

Background:

• Ultrasound guidance is crucial for shoulder joint injections.
• Traditional methods face limitations in precision targeting.
• AI offers potential to overcome these limitations.

Purpose of the Study:

• To review the role of AI in ultrasound-guided shoulder injections.
• To evaluate AI technologies based on accuracy and clinical outcomes.
• To summarize AI's impact on injection therapy.

Main Methods:

• Systematic literature search across major databases (PubMed, Embase, etc.).
• Screening studies based on inclusion/exclusion criteria.
• Evaluating AI using segmentation accuracy (Dice), first-pass success, and clinical scores (VAS, ASES).

Main Results:

• AI enhances anatomical segmentation accuracy.
• AI improves first-pass puncture success rates.
• AI positively impacts patient-reported outcomes (VAS, ASES scores).

Conclusions:

• AI-guided ultrasound significantly improves shoulder injection accuracy and success.
• AI represents a paradigm shift in optimizing shoulder injection therapy.
• This review provides an evidence-based reference for clinicians and researchers.