Table 3.
Clinical outcomes comparison of different injection methods.
| Method | First-pass puncture success rate | VAS score reduction (6 weeks) | ASES score improvement (3 months) | Re-injection rate (12 months) | References |
|---|---|---|---|---|---|
| Blind injection | 65 ~ 70% | 1.0 ~ 1.5 points | 15 ~ 20% | 35 ~ 40% | Aly et al. (2015) and Enriquez et al. (2025) |
| Ultrasound-guided injection | 80 ~ 85%* | 1.8 ~ 2.3 points* | 25 ~ 30% | 20 ~ 25% | Aly et al. (2015) and Huang et al. (2015) |
| AI-Navigated ultrasound injection | 90 ~ 95% (inferred#) | 2.2 ~ 2.8 points (inferred#) | 30 ~ 35% (inferred#) | 10 ~ 15% (inferred#) | Huang et al. (2015), Andriollo et al. (2024), and Kuratani et al. (2022) |
*Direct evidence: Cited RCT/meta-analysis data for blind injection and conventional ultrasound-guided injection (e.g., 80 ~ 85% first-pass success rate, 1.8 ~ 2.3-point VAS reduction). These data are supported by consistent clinical observations across diverse patient cohorts, including paraplegic patients with rotator cuff tendinopathy.
#Inferred data: Clearly noted that AI-navigated injection outcomes (90 ~ 95% first-pass success rate, 2.2 ~ 2.8-point VAS reduction) are derived from technical principle extrapolation and analogous procedure data. The inference is based on two core technical rationales: (1) AI’s precise anatomical segmentation (Dice coefficient > 0.9 for rotator cuff muscles) reduces off-target injections; (2) real-time needle tracking and adaptive path planning address the limitations of static ultrasound guidance in dynamic injection processes. However, these inferred data lack validation from dedicated RCTs focusing on AI-navigated shoulder injections, and future clinical studies are required to confirm these outcomes.