Large Language Models for Epidural Stimulation Electrode Mapping in Spinal Cord Injury
8. september 2026 oppdatert av: 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.
Studieoversikt
Status
Aktiv, ikke rekrutterende
Forhold
Studietype
Observasjonsmessig
Registrering (Faktiske)
20
Kontakter og plasseringer
Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.
Studiesteder
-
-
Istanbul
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Istanbul, Istanbul, Tyrkia (Türkiye), 34290
- Istanbul Gelisim University
-
-
Deltakelseskriterier
Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Barn
- Voksen
- Eldre voksen
Tar imot friske frivillige
Nei
Prøvetakingsmetode
Ikke-sannsynlighetsprøve
Studiepopulasjon
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.
Beskrivelse
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.
Studieplan
Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.
Hvordan er studiet utformet?
Designdetaljer
Kohorter og intervensjoner
Gruppe / Kohort |
Intervensjon / Behandling |
|---|---|
|
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.
|
Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Clinical Accuracy Score of Large Language Model Responses
Tidsramme: 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
|
Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Technical Feasibility Score of Large Language Model Responses
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
|
Samarbeidspartnere og etterforskere
Det er her du vil finne personer og organisasjoner som er involvert i denne studien.
Sponsor
Studierekorddatoer
Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.
Studer hoveddatoer
Studiestart (Faktiske)
2. september 2026
Primær fullføring (Antatt)
9. september 2026
Studiet fullført (Antatt)
9. september 2026
Datoer for studieregistrering
Først innsendt
8. september 2026
Først innsendt som oppfylte QC-kriteriene
8. september 2026
Først lagt ut (Faktiske)
14. september 2026
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
14. september 2026
Siste oppdatering sendt inn som oppfylte QC-kriteriene
8. september 2026
Sist bekreftet
1. september 2026
Mer informasjon
Begreper knyttet til denne studien
Ytterligere relevante MeSH-vilkår
Andre studie-ID-numre
- EES-LLM-2026-01
Legemiddel- og utstyrsinformasjon, studiedokumenter
Studerer et amerikansk FDA-regulert medikamentprodukt
Nei
Studerer et amerikansk FDA-regulert enhetsprodukt
Nei
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