Using deep learning to improve detection of fetal congenital abnormalities

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study focuses on enhancing the detection of congenital abnormalities (CAs) in fetuses through advanced deep learning and statistical learning techniques. By utilizing a specialized intelligent system, the study aims to improve the accuracy of morphology scans, which are crucial for early diagnosis and intervention. The system will assist sonographers in identifying fetal biometric planes and signaling unusual findings, thereby facilitating better decision-making and discussions regarding prognosis with parents. The project integrates various approaches to ensure comprehensive evaluation and aims for direct implementation in clinical practice.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Second trimester pregnant women

Exclusion Criteria:

-

Where it's running

• University Emergency County Hospital
  Craiova, Dolj, Romania Recruiting

Study contacts

• Principal investigator: Smaranda Belciug, Assoc. Prof. — University of Craiova
• Study coordinator: Smaranda Belciug, Assoc. Prof.
• Email: sbelciug@inf.ucv.ro
• Phone: 729127574

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.