Healthcare
ULTRASOUND AI
ClickIT team helps Ultrasound AI visualize the future of prenatal care
- THE
Client Project
Ultrasound AI is a startup that provides accurate estimates of a baby’s date through a web application harnessing the power of artificial intelligence.
This application uses ultrasound images to provide a range of likely delivery dates that caregivers can use to plan for the delivery of a baby, whether the baby comes early or on time.
- THE
Challenge
This was a complex application as it required connecting four APIs and a novel AI model, maintaining a low infrastructure cost, and developing the primary application functions.
The team, collaborating with Ultrasound AI staff, completed the project in about three months, which is unusually fast for a medical device.
- REQUIREMENTS
Make sure that all health information is protected
The infrastructure needs to be adapted to accommodate real-time traffic
The infrastructure needs to be live most of the time with a minimal failure rate
CI/CD use to make quick changes to the application
The ability of the app to recover from failure
In case of failure, the infrastructure needs to recover easily and quickly
- OUR
Implemented Service
ClickIT provided Ultrasound AI with a Full 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.
- OUR TECH STACK
Technologies we used in this project
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- THE
Results
Following the completion of the project, the customer now has access to an application that can provide them with UAI-generated forecasts, view the source images, and record their clinical impressions in a HIPAA (patient privacy-sensitive) manner.
