Evaluating AI-assisted detection of fetal intracranial malformations in prenatal ultrasound practice: a multicentre, self-crossover, randomised controlled trial in China.
AI assistance during prenatal ultrasound shows promise for helping sonographers detect fetal brain malformations more reliably in real-world clinical practice.
The effect of AI-assisted diagnosis on sonographer performance in real-world prenatal settings remains unclear. The record is retained for conservative triage based on its relevance and randomized controlled trial.
What the study was
- Study design
- Randomized controlled trial
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Lancet Digit Health
Why it surfaced
Retained as a randomized controlled trial relevant to AI/ML in clinical diagnostics and imaging; scoring is conservative from PubMed metadata and abstract only.
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