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AI scans could help surgeons avoid overdosing muscle relaxants

NCT ID NCT07478120

Knowledge-focused Sponsor: Seoul National University Bundang 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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This completed study of 31 gynecological surgery patients tested whether AI analysis of preoperative CT scans could predict the correct dose of muscle relaxant (neuromuscular blocking agent). The idea is that people with more muscle mass need a higher dose, but current dosing based on body weight can be inaccurate. Researchers used deep learning to measure muscle and fat from CT images and compared those measurements to the drug dose needed during surgery. The goal is to make anesthesia safer and more personalized.

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 help doctors personalize anesthesia dosing based on a patient's actual muscle mass, reducing risks of under- or over-medication.
What could go wrong
This is a small, completed observational study (31 people) that only looked at one type of surgery. The findings may not apply to other surgeries or patients, and the AI method needs more testing before it can be used in routine care.

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

31 people

The number who actually took part.

Started

Jan 2021

Finished

Mar 2026

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

Patients scheduled for elective gynecologic surgery under general anesthesia

Ages

19 to 85 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: * American Society of Anesthesiologists physical class (ASA class) 1-3 * Patients scheduled for elective gynecologic surgery under general anesthesia * Patients undergoing abdominal computed tomography for routine preoperative preparation Exclusion Criteria: * Pregnant women * Decreased renal function (GFR\<60mL/min/1.73m2). * Patients taking drugs that affect deep neuromuscular blockade * Patients with a history of neuromuscular and muscle disorders

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As listed by the trial registrant

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

Neuromuscular blockade Neuromuscular blockade monitoring

Contacts and locations

Locations

  • Seoul National University Bundang Hospital

    Gyeonggi-do, Sungnamsi, 13620, South Korea

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