Can AI learn to tune spinal cord stimulators?
NCT ID NCT07817238
First seen Sep 14, 2026 · Last updated Sep 15, 2026 · Updated 1 time
Summary
Researchers are comparing four large language models, ChatGPT-4o, Claude, Grok 3, and Gemini 2.5 Pro, on how well they recommend electrode contact configurations for epidural electrical stimulation in spinal cord injury. The study uses five standardized synthetic scenarios and no real patients. Experts in spinal cord injury rehabilitation and electrical stimulation will rate each model's responses for clinical accuracy, technical feasibility, safety awareness, consistency with current guidance, and completeness.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- large language model clinical decision support (ChatGPT-4o, Claude, Grok 3, Gemini 2.5 Pro)
- What this could lead to
- If the models perform well, this could point toward AI tools that help clinicians plan spinal cord stimulation settings more efficiently.
- What could go wrong
- The study uses only five synthetic scenarios and no real patients, so the results may not reflect how these models handle complex, real-world cases. Expert ratings can also vary between reviewers.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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20 people
The number who actually took part.
- Started
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Sep 2026
- Expected to finish
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Sep 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
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.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
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.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Istanbul Gelisim University
Istanbul, Istanbul, 34290, Turkey (Türkiye)
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