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Fetal Growth Intelligence Platform
1. Which dataset did you use?
Synthetic fetal health data generated using a chatbot, containing patient-level records with Doppler PI scores, BPP scores, AFI measurements, biometric measurements (head circumference, abdominal circumference, femur length), gestation weeks, and clinical profiles including IUGR, Preeclampsia, Macrosomia and Normal.
2. How did you analyze or prepare the data?
I used Explain to surface key drivers of high Doppler PI scores across patient profiles. I used Auto-Insights to identify which clinical groups had the highest NICU admission rates. I used the AI Assistant to ask questions such as "Which patients have the highest Doppler PI?" and used one of the visualizations it generated directly in my dashboard.
3. Who is the intended audience?
Obstetric clinicians and maternal-fetal medicine specialists who need to identify the highest risk patients and act on clinical findings quickly without manually reviewing raw scan data.
4. What is your visualization about and what problem does it address?
FetalIQ answers one clinical question: which patients need intervention today?
It addresses the problem that high-risk fetal conditions such as IUGR and Preeclampsia deteriorate rapidly and clinicians need instant visibility of which patients have crossed critical thresholds. FetalIQ surfaces the highest risk patient immediately, shows their Doppler PI trajectory over gestation, flags biometric deviations against WHO reference standards, and generates a plain-English clinical narrative so the clinician knows exactly what action to take without interpreting raw numbers.
5. Did you use any Oracle Analytics AI features?
Yes. AI features are central to FetalIQ, not supplementary.
Explain : applied to Doppler PI and BPP Score to identify which clinical profiles and gestation weeks drive the highest risk scores.
Auto-Insights : run on the full dataset to surface NICU admission patterns and biometric anomalies across patient cohorts.
AI Assistant : used to ask clinical questions such as "Show Doppler PI by gestation week" and "Which patients have BPP below 6?" and incorporated generated visualizations directly into the dashboard.
Language Narrative
AI Agent (Conversational Analytics)
The FetalIQ AI Agent is present on all canvases. It is grounded with a custom Knowledge Base PDF — containing WHO References.This means the agent does not just query data; it benchmarks results against WHO.
The combination of grounded knowledge base + live dataset querying + natural language output represents the highest level of Oracle Analytics AI Agent capability demonstrated in this submission.
6. Did you upload your visualization image and DVA file?
Yes — both the dashboard image and DVA file have been uploaded.