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ChatGPT and rivals put to the test: can AI match doctors in pre-surgery risk scoring?

NCT ID NCT07696221

Knowledge-focused Sponsor: Marmara University Pendik Training and Research Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

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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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 10, 2026 · Last updated Jul 10, 2026

Summary

This study tests whether four popular AI chatbots — ChatGPT, DeepSeek, Gemini, and Claude — can correctly classify surgical risk using anonymous patient vignettes. Researchers compare the AI's risk scores to those given by a panel of senior anesthesiologists. If successful, AI could help standardize preoperative assessments and reduce human variability.

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 (ChatGPT, DeepSeek, Gemini, Claude)
What this could lead to
If these AI models prove reliable, they could help standardize preoperative risk assessment and reduce variability among clinicians.
What could go wrong
This is a small, retrospective study using anonymized vignettes, not real-time patient care. AI may not perform as well in complex or emergency cases.

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 350 people

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

Expected to start

Jul 2026

An estimate. Start dates often move.

Expected to finish

Oct 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

Adult patients who underwent preoperative anesthesia evaluation before elective surgery at a tertiary university hospital in Istanbul, Turkey.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

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

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Age 18 years or older * Planned elective surgery * Completed preoperative anesthesia evaluation Exclusion Criteria: * Emergency surgical procedures * ASA VI (brain death) * Incomplete clinical records

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Conditions

The condition(s) this trial relates to.

brain stem infarction

As listed by the trial registrant

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

Anesthesia Preoperative risk assessment Preoperative risk prediction

How to take part

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

  1. 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 ↗

  2. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

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