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AI vs. doctors: can chatbots predict heart risks before surgery?

NCT ID NCT07395713

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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether artificial intelligence models, like ChatGPT, can accurately predict if a patient needs a cardiology consultation before non-cardiac surgery. Researchers will compare AI recommendations to expert anesthesiologist evaluations using 2024 heart guidelines. The study involves 183 adults scheduled for surgery and aims to see if AI can help streamline preoperative care.

What this could mean

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

Active substance
Artificial intelligence models (ChatGPT, Copilot, Deepseek, Grok, Claude, Gemini)
What this could lead to
If successful, this could show that AI can help doctors decide when a cardiology consult is needed before surgery, potentially saving time and resources.
What could go wrong
This is an early, observational study with only 183 participants. AI recommendations are not used in real patient care, and results may not apply to all hospitals or patients.

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 183 people

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

Started

Jan 2025

Expected to finish

Mar 2026

An estimate. End dates often move.

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

This study will be conducted with the participation of patients who will be referred to cardiology following an examination at the anesthesia clinic prior to undergoing non-cardiac surgery.

Ages

18 to 80 years

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: Adults aged 18 years or older ASA physical status classification I-IV Scheduled for non-cardiac surgery Patients evaluated preoperatively by anesthesia residents with less than two years of clinical experience Availability of complete clinical data including medical history, ECG findings, and chest radiography Ability to provide informed consent Exclusion Criteria: Patients younger than 18 years of age Patients undergoing cardiac surgery Patients with incomplete clinical data Patients who declined participation Emergency surgery cases Patients unable to undergo standard preoperative evaluation

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As listed by the trial registrant

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

Contacts and locations

Locations

  • Bursa Şehir Hastanesi

    Bursa, Bursa, 16001, Turkey (Türkiye)