Skip to main content
OpenTrials
Active, not recruiting

NCT Number: NCT07817238

Large Language Models for Epidural Stimulation Electrode Mapping in Spinal Cord Injury

This observational and methodological study aims to compare the performance of large language models in generating electrode contact configuration recommendations for epidural electrical stimulation in spinal cord injury.

Five standardized synthetic spinal cord injury scenarios will be presented to four large language models: ChatGPT-4o, Claude, Grok 3, and Gemini 2.5 Pro. Each model will receive the same standardized prompt. The generated responses will be anonymized and evaluated independently by experts with experience in spinal cord injury rehabilitation and epidural electrical stimulation.

The responses will be assessed in five main areas: clinical accuracy, technical feasibility, safety awareness, consistency with current clinical guidance, and completeness of the response. Agreement between expert evaluators will also be examined.

No real patients, human participants, clinical interventions, or personal health data are included in this study. The study is designed to explore the potential and current limitations of large language models as artificial intelligence-based clinical decision-support tools in neurorehabilitation.

Active, not recruiting

This study is active but is not currently recruiting participants.

Notify Me

Key information

Conditions

Spinal Cord Injury Central Nervous System Diseases Nervous System Diseases Spinal Cord Diseases Spinal Cord Injuries Trauma, Nervous System Wounds and Injuries

Sex eligibility

All sexes

Study type

Observational

Primary location

Istanbul Gelisim University

Istanbul, 34290, Turkey (Türkiye)

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Responses generated for one of the five predefined standardized synthetic spinal cord injury scenarios.
  • Responses generated using the identical standardized prompt specified in the study protocol.
  • Responses generated by one of the four prespecified large language models.
  • Complete responses available for expert evaluation.

Exclusion criteria

  • Responses generated using prompts that differ from the standardized study prompt.
  • Incomplete, interrupted, or technically corrupted model outputs.
  • Duplicate responses or outputs not corresponding to a predefined synthetic scenario.
  • Any response generated using real patient-identifiable or personal health information.

Treatment and study plan

ChatGPT-4o Large Language Model

Other

The large language model receives five standardized synthetic spinal cord injury scenarios using an identical standardized prompt and generates recommendations for epidural electrical stimulation electrode contact configuration mapping. No intervention is administered to human participants.

Claude Large Language Model

Other

The large language model receives five standardized synthetic spinal cord injury scenarios using an identical standardized prompt and generates recommendations for epidural electrical stimulation electrode contact configuration mapping. No intervention is administered to human participants.

Grok 3 Large Language Model

Other

The large language model receives five standardized synthetic spinal cord injury scenarios using an identical standardized prompt and generates recommendations for epidural electrical stimulation electrode contact configuration mapping. No intervention is administered to human participants.

Gemini 2.5 Pro Large Language Model

Other

The large language model receives five standardized synthetic spinal cord injury scenarios using an identical standardized prompt and generates recommendations for epidural electrical stimulation electrode contact configuration mapping. No intervention is administered to human participants.

Primary outcomes

  1. Clinical Accuracy Score of Large Language Model Responses

    Time frame: At the time of expert evaluation, within 1 week after study initiation

    Clinical accuracy of the epidural electrical stimulation electrode contact configuration recommendations generated by each large language model will be independently evaluated by expert reviewers using a 5-point Likert-type rating scale. Higher scores indicate greater clinical accuracy of the generated recommendations.

Secondary outcomes

  1. Technical Feasibility Score of Large Language Model Responses

    Time frame: At expert evaluation, within 1 week after study initiation

    The technical feasibility of epidural electrical stimulation electrode contact configuration recommendations generated by each large language model will be independently evaluated by expert reviewers using a 5-point Likert-type rating scale. Higher scores indicate greater technical feasibility and applicability of the generated recommendations.

  2. Safety Awareness Score of Large Language Model Responses

    Time frame: At expert evaluation, within 1 week after study initiation

    The safety awareness demonstrated in the epidural electrical stimulation electrode contact configuration recommendations generated by each large language model will be independently evaluated by expert reviewers using a 5-point Likert-type rating scale. Higher scores indicate greater recognition and consideration of relevant safety issues.

  3. Clinical Guideline Consistency Score of Large Language Model Responses

    Time frame: At expert evaluation, within 1 week after study initiation

    The consistency of the generated epidural electrical stimulation electrode contact configuration recommendations with current clinical guidance will be independently evaluated by expert reviewers using a 5-point Likert-type rating scale. Higher scores indicate greater consistency with current clinical guidance and relevant evidence-based recommendations.

  4. Response Completeness Score of Large Language Model Responses

    Time frame: At expert evaluation, within 1 week after study initiation

    The completeness of the epidural electrical stimulation electrode contact configuration recommendations generated by each large language model will be independently evaluated by expert reviewers using a 5-point Likert-type rating scale. Higher scores indicate more complete and comprehensive responses.

Sponsors and collaborators

Lead sponsor

Istanbul Gelisim University

Other

Registry information

Official study title

AI-Assisted Electrode Contact Configuration Mapping for Epidural Electrical Stimulation in Spinal Cord Injury: A Comparative Evaluation of Large Language Models

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Sep 14, 2026
Registry last updated
Sep 14, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.