Fetal Anomaly Detection Algorithm

AI-powered prenatal diagnostics helping healthcare professionals detect fetal anomalies with greater accuracy.

AI trained on 3,000+ annotated fetal brain ultrasound images

Detect CSP absence (brain mid-line gap; missing = serious defect) and abnormal LV width (fluid chambers; >10 mm = ventriculomegaly)

Generate comprehensive clinical PDF reports

Interactive AI clinical assistant (FADA Bot)

Hamad Bin Khalifa University · Qatar

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