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

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Clinical Scorecard: Utilizing Artificial Intelligence to Anticipate Clinical Outcomes and Treatment Efficacy in Interventional Pain Management: A Scoping Review

At a Glance

CategoryDetail
ConditionInterventional Pain Management
Key MechanismsApplication of artificial intelligence techniques for predicting clinical response, procedural risk, and therapeutic value.
Target PopulationAdult patients undergoing interventional pain procedures.
Care SettingClinical practice for pain management.

Key Highlights

  • Twenty-five studies reviewed, focusing on predictive applications in pain management procedures.
  • AI models explored patterns associated with clinical response and procedural risk.
  • Majority of studies were retrospective with limited external validation.
  • AI has potential to refine patient selection and anticipate treatment response.
  • Variability in clinical response and therapeutic value remains a challenge.

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

        Risks

          Patient & Prescribing Data

          Adults with chronic pain refractory to conservative treatments.

          AI can help identify patients likely to benefit from specific interventions.

          Clinical Best Practices

          • Utilize AI to integrate clinical, procedural, and longitudinal data for better decision-making.
          • Focus on prospective studies with robust external validation for AI applications.

          Related Resources & Content

          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

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