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

8 septembre 2026 mis à jour par: Görkem Açar, Istanbul Gelisim University

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

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.

Aperçu de l'étude

Type d'étude

Observationnel

Inscription (Réel)

20

Contacts et emplacements

Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.

Lieux d'étude

    • Istanbul
      • Istanbul, Istanbul, Turquie (Türkiye), 34290
        • Istanbul Gelisim University

Critères de participation

Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.

Critère d'éligibilité

Âges éligibles pour étudier

  • Enfant
  • Adulte
  • Adulte plus âgé

Accepte les volontaires sains

Non

Méthode d'échantillonnage

Échantillon non probabiliste

Population étudiée

No human study population is included. The analytical sample consists of five standardized synthetic spinal cord injury scenarios and the responses generated for these scenarios by ChatGPT-4o, Claude, Grok 3, and Gemini 2.5 Pro. Each model is evaluated under the same standardized prompting conditions. Model outputs are anonymized and independently rated by expert evaluators for clinical accuracy, technical feasibility, safety awareness, consistency with clinical guidance, and response completeness.

La description

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.

Plan d'étude

Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.

Comment l'étude est-elle conçue ?

Détails de conception

Cohortes et interventions

Groupe / Cohorte
Intervention / Traitement
ChatGPT-4o
Responses generated by ChatGPT-4o for five standardized synthetic spinal cord injury scenarios using the same standardized prompt. The responses will be evaluated for clinical accuracy, technical feasibility, safety awareness, guideline consistency, and completeness.
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
Responses generated by Claude for five standardized synthetic spinal cord injury scenarios using the same standardized prompt. The responses will be evaluated for clinical accuracy, technical feasibility, safety awareness, guideline consistency, and completeness.
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
Responses generated by Grok 3 for five standardized synthetic spinal cord injury scenarios using the same standardized prompt. The responses will be evaluated for clinical accuracy, technical feasibility, safety awareness, guideline consistency, and completeness.
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
Responses generated by Grok 3 for five standardized synthetic spinal cord injury scenarios using the same standardized prompt. The responses will be evaluated for clinical accuracy, technical feasibility, safety awareness, guideline consistency, and completeness.
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.

Que mesure l'étude ?

Principaux critères de jugement

Mesure des résultats
Description de la mesure
Délai
Clinical Accuracy Score of Large Language Model Responses
Délai: 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.
At the time of expert evaluation, within 1 week after study initiation

Mesures de résultats secondaires

Mesure des résultats
Description de la mesure
Délai
Technical Feasibility Score of Large Language Model Responses
Délai: 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.
At expert evaluation, within 1 week after study initiation
Safety Awareness Score of Large Language Model Responses
Délai: 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.
At expert evaluation, within 1 week after study initiation
Clinical Guideline Consistency Score of Large Language Model Responses
Délai: 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.
At expert evaluation, within 1 week after study initiation
Response Completeness Score of Large Language Model Responses
Délai: 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.
At expert evaluation, within 1 week after study initiation

Collaborateurs et enquêteurs

C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.

Dates d'enregistrement des études

Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.

Dates principales de l'étude

Début de l'étude (Réel)

2 septembre 2026

Achèvement primaire (Estimé)

9 septembre 2026

Achèvement de l'étude (Estimé)

9 septembre 2026

Dates d'inscription aux études

Première soumission

8 septembre 2026

Première soumission répondant aux critères de contrôle qualité

8 septembre 2026

Première publication (Réel)

14 septembre 2026

Mises à jour des dossiers d'étude

Dernière mise à jour publiée (Réel)

14 septembre 2026

Dernière mise à jour soumise répondant aux critères de contrôle qualité

8 septembre 2026

Dernière vérification

1 septembre 2026

Plus d'information

Termes liés à cette étude

Informations sur les médicaments et les dispositifs, documents d'étude

Étudie un produit pharmaceutique réglementé par la FDA américaine

Non

Étudie un produit d'appareil réglementé par la FDA américaine

Non

Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .

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