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AI vs. anesthesiologists: who scores better on Pre-Op risk?

NCT ID NCT07407998

Knowledge-focused Sponsor: Bursa City Hospital 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
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether artificial intelligence models can correctly assign a standard surgical risk score (ASA Physical Status) to patients before surgery. Researchers compared AI-generated scores to those given by experienced anesthesiologists in 128 adult patients. The goal was to see if AI could help support preoperative risk assessment.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could show that AI can help doctors quickly and consistently assess patient health before surgery, potentially improving efficiency and reducing human error.
What could go wrong
This is a small, completed observational study, not a treatment trial. AI may not match the accuracy of experienced anesthesiologists, and results may not apply to all hospitals or patient groups.

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

128 people

The number who actually took part.

Started

Dec 2024

Finished

Jan 2026

Lead sponsor

A government agency

The lead sponsor is a government body.

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 consists of adult patients presenting for routine preoperative anesthesia assessment at Bursa City Hospital, including individuals with varying comorbidities and surgical risk profiles.

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: * Adult patients aged 18 years or older * Undergoing routine preoperative anesthesia evaluation * Classified as ASA Physical Status I-IV * Availability of complete clinical data required for AI assessment Exclusion Criteria: * Patients younger than 18 years * Refusal to participate * Incomplete or missing clinical information

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As listed by the trial registrant

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

Asa physical status classification Preoperative risk assessment

Contacts and locations

Locations

  • Bursa City Hospital

    Bursa, Nilüfer, 16110, Turkey (Türkiye)

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