AI reads baby brain scans: could it spot problems doctors miss?

NCT ID NCT07261618

Ongoing Diagnosis Sponsor: Sanliurfa Mehmet Akif Inan Education and Research Hospital Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study is testing an artificial intelligence tool called Alyssia that analyzes 2D ultrasound images of the fetal brain. The goal is to see if the AI can accurately tell the difference between normal and abnormal brain findings, especially in the lateral ventricles. Researchers will use 800 archived images from routine prenatal scans (18-24 weeks) and compare the AI's results to expert assessments. If it works, this could help standardize diagnosis and reduce mistakes caused by differences in doctor experience or image quality.

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-based diagnostic tool (Alyssia)
What this could lead to: If successful, this AI tool could help doctors spot fetal brain problems more reliably and earlier, leading to better prenatal care and outcomes.
What could go wrong: This is a retrospective study using archived images, not a real-world test. The AI may not perform as well in live clinical settings or with different image quality.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

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

ARTIFICIAL INTELLIGENCE INTRACRANIAL ANOMALIES ULTRASOUND IMAGING

Contacts and locations

Locations

Nefise nazlı Yenigül

Bursa, Turkey (Türkiye)

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