AI Healthcare Solution
AI-Powered Image Processing for Prenatal Care
The Client Project
Ultrasound AI harnesses advanced artificial intelligence to transform prenatal care by providing precise, AI-driven estimations of a baby’s expected delivery date through a cutting-edge web application.
Challenge
- Accurately process and analyze ultrasound images
- Generate reliable predictive analytics for delivery dates
- Ensure high-performance, scalable AI model deployment
- Maintain strict patient data privacy and compliance
- Prepare a lean integration between the AI and the AWS infrastructure
Requirements
Implement a machine learning model capable of extracting and interpreting critical information from ultrasound images
Create an AI system that can generate accurate delivery date forecasts
Ensure all AI processing adheres to patient privacy regulations
Design an autoscaling architecture to support real-time AI model inference
Maintain minimal failure rate for critical healthcare AI services
Our Implemented Service
ClickIT provided Ultrasound AI with an AI Product Development Service, which included a dedicated team of nine engineers (six developers, one DevOps engineer, and one tester) and a project manager.
The project utilized a microservice built on Python to process ultrasound images, with the database hosted on MongoDB Atlas. The rest of the project was implemented using a variety of AWS services.
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Our Tech Stack
Nest Js
React
Orcanos
AWS S3
AWS EC2
Mongo DB
Kubernetes
AWS EKS
AWS Lambda
Terraform
Github
The Results
Ultrasound AI now offers AI-generated delivery date forecasts, secure image source viewing, clinically validated predictive insights and a transformative approach to prenatal care through AI technology.
