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Can AI-Guided ultrasound make spinal anesthesia safer?

NCT ID NCT03535155

Knowledge-focused Sponsor: KK Women's and Children's 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 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 07, 2026 · Last updated Aug 07, 2026

Summary

This study is testing whether an automated system that identifies spinal landmarks using ultrasound can help doctors insert spinal anesthesia needles more accurately and safely. The system's accuracy will be compared to that of experienced investigators in 100 adults undergoing surgery with spinal anesthesia. The goal is to see if this technology can improve first-attempt success and reduce complications.

What this could mean

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

Active substance
Automated spinal landmark identification using ultrasound image processing
What this could lead to
If successful, this could lead to a tool that helps doctors find the right spot for spinal anesthesia more accurately, potentially reducing failed attempts and improving patient safety.
What could go wrong
This is a small, early-stage study. The automated system may not be accurate enough in real-world conditions, and results may not apply to people with spinal abnormalities or higher body mass index.

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 100 people

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

Started

May 2016

Expected to finish

Dec 2027

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

The women whose age between 21-75 years old who required spinal anaesthesia for surgical procedure.

Ages

21 to 75 years

Sex

Female participants only

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: * Age between 21-75 years old who required spinal anesthesia for surgical procedure; * Weight of 40-90kg and height of 140-180cm; * BMI less than 30. Exclusion Criteria: * History of scoliosis; * History of spinal instrumentation; * Drug allergy to ultrasound transmission gel; * Visible wound or injury in the lumbar spine.

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As listed by the trial registrant

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

Spinal anesthesia

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