RecruitingNAINTERVENTIONAL

Study Comparing Two Image Acquisition Modalities for Second-trimester Pregnancy Screening Ultrasound (Echo-IA)

This study is comparing two ways of doing ultrasound scans during pregnancy, specifically in the second trimester. One way uses a standard ultrasound machine, and the other uses the same machine but with special Artificial Intelligence (AI) help. The main goal is to see if AI can help get high-quality images of the baby just as well as, or even better than, when sonographers (the people who do the scans) do it manually. Doctors usually perform these scans to check the baby's growth and look for any problems. The study wants to find out if using AI can make these important scans more reliable and easier for the healthcare team, potentially saving time and making sure no important details are missed.

At a glance

Status

Recruiting

Phase

Sponsor

Clinique Rive Gauche

Enrolment target

Start

15 Dec 2025

Estimated completion

30 Jun 2026

Artifical Intelligence Echography Ultrasound

What is this study about?

When you're pregnant, a special scan called a second-trimester ultrasound is really important. It helps doctors check how your baby is growing, see if everything looks healthy, and make sure there are no unexpected problems. Getting good, clear pictures during this scan is key, and it often depends on the skill of the person doing the scan and the equipment they use.

Recently, a new technology called Artificial Intelligence (AI) has started helping in medical imaging. Some ultrasound machines now have AI features that can automatically find and get the right pictures of your baby. This could make scans quicker and more consistent, ensuring everyone gets the same high standard of care. This study wants to see how well this AI technology actually works in real life.

The main idea is to compare the quality of images taken using the AI-assisted system with images taken in the usual way by a trained sonographer. The study will check if the pictures from the AI system are just as good, or perhaps even better, at showing all the important parts of your baby. This will help doctors decide if AI can be a useful tool to improve how we do these vital pregnancy scans in the future, making them more reliable and easier for both parents and healthcare professionals.

Key takeaways

Compares standard ultrasound with AI-assisted ultrasound.
Aims to improve the quality and consistency of pregnancy scans.
Involves your routine second-trimester ultrasound scan.
Is safe, with no extra risks to you or your baby.
Participation could help improve future maternity care.

Who may be eligible?

This study is looking for pregnant women who are at least 18 years old. You need to be pregnant with a single baby that is healthy, and your due date should have been accurately determined by an earlier scan. The scan you're having for this study must be your routine second-trimester check-up, falling between 20 weeks and 24 weeks and 6 days of pregnancy. You also need to agree to take part and be covered by your country's health insurance or a similar plan.

However, some people won't be able to join. This includes if you are pregnant with more than one baby, if your baby is already known to have a health problem, or if you have a complicated pregnancy. If you have difficulties understanding instructions or answering questions, or if you are under legal guardianship, you also won't be able to participate. Lastly, if you are not covered by health insurance, you won't be eligible.

Could this study suit you?

Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.

Are you at least 18 years old?
Are you pregnant with one baby and know your due date from an earlier scan?
Will your next scan be between 20 and 24 weeks and 6 days of your pregnancy?
Do you have health insurance or similar cover?
Are you able to easily understand instructions and answer questions?

Answer every question to see your result.

What does participation involve?

This study focuses on a routine second-trimester ultrasound scan you would already be having. You won't need extra visits or medication. During your scan, the sonographer will perform it as usual. In addition, the AI-assisted ultrasound will be used. The researchers will then compare the quality of the images from both methods. The total duration of your involvement will be limited to this single ultrasound appointment.

Potential risks and benefits

Taking part in this study could potentially help improve future ultrasound scans for other pregnant people, making them more accurate and efficient. There are no known additional risks to you or your baby beyond those of a standard ultrasound, as you will be undergoing a routine scan you would have anyway. You have the right to withdraw from the study at any point without needing to give a reason, and this will not affect your medical care.

Locations (1)

Clinique Rive Gauche
Verified postcode
Toulouse, France· Recruiting

Common questions

What is AI in this study?

AI, or Artificial Intelligence, is a computer program that helps the ultrasound machine recognise parts of your baby and get the best pictures automatically.

Will this change my ultrasound appointment?

No, your appointment will be a standard second-trimester scan. The study will just use the AI feature on the machine as part of that scan.

Is it safe for me and my baby?

Yes, using AI with an ultrasound is considered safe. It's the same type of scan you'd already be having, just with added computer help.

Will I get my scan results faster?

This study is focused on image quality. While AI might speed up scans in the future, getting your results will still follow your clinic's usual process.

What if I change my mind about taking part?

You can decide not to be part of the study at any time without it affecting your care, even if you've already agreed.

How to find out more

Jean-Pierre Perrigaud

jp.perrigaud@clinique-rivegauche.fr 0033561773333 Official trial record

Always speak to your GP or specialist before deciding to take part in a study.