A Personalized

AI-Powered Antenatal Diagnostic Assistant

A Personalized


About Project

A next-generation AI ultrasound platform was built to transform prenatal and maternal care. The solution supports clinicians, radiologists, and minimally trained operators by assisting with accurate fetal measurements, diagnosing critical conditions early, and enabling remote ultrasound guidance.

Success Data

95%

Diagnostic Accuracy

AI-powered video loop analysis ensures precise fetal plane detection and diagnosis.


3-5x

Faster Screening

Smart loop capture accelerates the ultrasound process, reducing efforts for clinicians.

Requirements

The client required a solution that could

01

Automatically analyze ultrasound videos with minimal operator expertise.

02

Provide accurate fetal biometric measurements using AI-driven segmentation.

03

Enable remote guidance and diagnosis to support underserved or remote regions.

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Key Features

AI-Driven Fetal Measurements

An advanced measurement engine was implemented using segmentation algorithms to calculate key fetal biometrics.

AI-Assisted Ultrasound Diagnosis

The system identifies the right planes, suggests measurements, and assists with diagnostic guidance.

Teleguidance & Remote Diagnosis

A decision-support module was developed to allow remote experts to guide operators in real time, ensuring quality care even in low-resource environments.

Department-Specific Panels

Each department receives a tailored interface with only the information relevant to their workload, ensuring simple navigation and faster task execution.

Challenges

Faced by the Client

Inconsistent Image Quality

Inconsistent Image Quality

Varying operator expertise made scans unreliable.

Slow Manual Measurements

Slow Manual Measurements

Manual fetal measurements caused delays and potential inaccuracies.

Limited Access to Experts

Limited Access to Experts

Remote regions lacked skilled sonographers, limiting timely diagnosis.

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Solution

Proposed by Hiteshi

Conclusion

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01

Greater than 95% accuracy in fetal diagnosis and measurement.

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02

3-5x faster screening with automated loop capture.

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03

Mobile-friendly, scalable, and hardware-agnostic deployment supporting global accessibility.