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AI vs professors: who grades better in physiotherapy?

NCT ID NCT07677202

Knowledge-focused Sponsor: Neuron, Spain Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 30, 2026 · Last updated Jul 01, 2026 · Updated 1 time

Summary

This study compares how well large language models (AI like ChatGPT, Claude, and Gemini) can grade written clinical-reasoning exams from third-year physiotherapy students, compared to faculty assessments. Researchers will have AI and human teachers score the same anonymized exams using a standard rubric, then measure how much their scores agree. The goal is to see if AI can reliably support grading in health education, potentially saving time and reducing variability between human graders.

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 models (AI like ChatGPT, Claude, Gemini)
What this could lead to
If successful, AI could help grade exams in health education, freeing up faculty time and providing consistent feedback.
What could go wrong
This is a small, early-stage study with 65 exams. AI may not match human judgment on complex reasoning, and results may not apply to other subjects or schools.

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

About 65 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Aug 2026

An estimate. Start dates often move.

Expected to finish

Aug 2026

An estimate. End dates often move.

Lead sponsor

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

The study population comprises undergraduate students enrolled in the course "Specific Methods in Physiotherapy" (third year of the Physiotherapy Degree) during the study period, approximately 60 to 80 students. As part of the course, each student produces a written clinical-reasoning case examination. The de-identified examinations from consenting students constitute the units of analysis and are assessed independently, using the same predefined rubric, by faculty (reference standard) and by three large language models. No clinical intervention is applied and participation does not affect students' official grades, which are determined exclusively by faculty.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show 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: * Students officially enrolled in the course "Specific Methods in Physiotherapy" (third year of the Physiotherapy Degree) during the study period. * Submission of a completed written clinical-reasoning case examination as part of the course. * Provision of informed consent for the anonymized examination to be used for educational-research purposes. Exclusion Criteria: * Refusal to provide, or withdrawal of, informed consent. * Blank, incomplete, or non-evaluable examinations (e.g., no developed written response). * Examinations that cannot be reliably de-identified prior to assessment.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Artifical intelligence Educational assessment Physical therapy education

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

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Contacts and locations

Locations

  • Centro Superior de Estudios Universitarios La Salle

    Madrid, Madrid, 28023, Spain

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