Artificial intelligence for prediction of clinical response and therapeutic value in interventional pain management: a scoping review - Takeaways - MDSpire

Artificial intelligence for prediction of clinical response and therapeutic value in interventional pain management: a scoping review

  • By

  • Mariana González Garcés

  • Jerónimo Cárdenas Montoya

  • Valeria Concha Fernández

  • Mario Andrés Torres Torres

  • Erwin Hernando Hernández Rincón

  • July 2, 2026

  • 0 min

Share

  • 1

    Artificial intelligence is increasingly explored in interventional pain management to predict clinical outcomes and procedural risks.

  • 2

    A scoping review identified 25 studies applying AI techniques in areas like epidural injections and spinal cord stimulation.

  • 3

    Most studies were retrospective and primarily relied on internal validation, with limited external validation reported.

  • 4

    AI models examined patterns related to clinical response, durability of benefit, and opioid use trajectories.

  • 5

    Methodological heterogeneity and limited external validation restrict the interpretability and clinical transferability of findings.

Original Source(s)

Artificial intelligence for prediction of clinical response and therapeutic value in interventional pain management: a scoping review

  • by Mariana González Garcés, Jerónimo Cárdenas Montoya, Valeria Concha Fernández, Mario Andrés Torres Torres, Erwin Hernando Hernández Rincón

  • July 2, 2026

Related Content

Observing and treating pain in people living with dementia in long-term care facilities

Postop Pain Differs by Vitamin D Status

Patients with preoperative vitamin D deficiency had higher postoperative pain scores and opioid use after mastectomy, including more than triple the odds of moderate to severe pain within 24 hours of surgery.

Could Digital Twins Forecast Forensic Risk?

Researchers outline a proposed three-level framework spanning patient monitoring, ward operations, and forensic system planning.