AI-driven neuroscanning system: Speeding up data processing and calculations by 23%

Project overview
Most chiropractors still rely on X-rays and manual assessment to evaluate their treatment’s impact on their patients. But they don’t always tell the whole story. Real-time central neural system (CNS) scanning has the potential to fill the gap in data. They let chiropractors monitor changes in brainwave activity and evaluate their patients’ progress in real time.
Our client, a US-based healthtech startup Cortex, saw the potential in the technology and came to us with the idea for an innovative CNS measuring device. Launched in 2024, it combines artificial intelligence, electroencephalography (EEG), and heart rate variability (HRV) analysis to track changes in brain activity in real time.
As the product was to push the envelope of brain scanning for chiropractors and challenge existing data-driven healthcare solutions, securing investment and speeding up time-to-market was crucial for our client. The solution also consisted of complex hardware and software components. So, during our custom healthcare software development, we had to ensure the CNS monitoring system could process vast amounts of data fast, including EEG and HRV analytics, and convert it into easy-to-grasp insights on a tablet.
In addition, the client worked with three distinct teams that tackled different aspects of medical device software development.
To have the product ready for launch on time, Cortex needed a reliable partner to take on project management, design and develop the tablet app for future users, and ensure the product’s quality.
That’s where we came in.
Services

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Challenges
Cortex needed more than a project management and web development partner to set the product up for success. The startup needed an expert in data science and AI to ensure data processing and conversion are smooth and fast to power real-time brain scan visualization and insights.
During the discovery phase of our partnership, we helped our client zero in on its strategic business needs and technical requirements for the project:
Strategic business needs
01 Speed up time-to-market by at least 10%
02 Enable effective cross-team collaboration between the three development teams
03 Ensure the solution is scalable and supports new feature updates
04 Provide one of the user-friendly medical data visualization solutions for patient progress tracking with AI insights via a tablet app
05 Accelerate product launch with AI model optimizations
Technical requirements
01 Develop a scalable data architecture optimized for future scalability
02 Implement secure and efficient data management to minimize latency
03 Design and develop a tablet app that can process at least 20 incoming parameters from the hardware using the BLE protocol and visualize scan data in real time
Contact us to discuss how we can implement real-time AI-driven insights for your healthcare solution.

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Solutions
To help our client turn hardware readings into comprehensive, easy-to-grasp CNS activity insights for chiropractors and patients alike, we had to tackle project management, data architecture, and UI/UX design challenges. Here’s how we did it.



Scalable data architecture for real-time insights
Using the BLE protocol, we designed the data architecture that extracts 20+ parameters per second from the hardware to power the use of machine learning in healthcare. The data is then prepared for calculations within the mathematical model written in C++ and AI-powered analytics algorithms.
By ensuring the smooth data flow implementing performance optimizations, we minimized latency and sped up data processing and calculations by 23%. Our iterative improvements to data cleaning and preparation processes also facilitated the overall use of AI in healthcare software development.

Real-time medical data visualization dashboard
We implemented real-time 3D medical data visualization using Three.js, with SQLite powering instant access to patient-level data analytics. These visualizations enable real-time brain activity monitoring with a minimum lag during the treatment.

Intuitive interface design for seamless UX
Thanks to our user-centered healthcare UX/UI design, the cross-platform tablet app allows users to quickly find the real-time or historical data they need for every patient. We used React Native to ensure the AI-driven healthcare solution remains fast and lightweight, enabling immediate access to real-time diagnostics for chiropractors. TypeScript, in turn, ensured optimal performance and code maintainability and scalability in the long run.
As a result, our React Native healthcare app is a perfect fit for improving patient outcomes through data analytics insights that are easy to grasp and navigate. Unlike some other patient data analytics solutions, however, the app remains responsive and fast even when processing hundreds of data points.

Harmonized cross-team project management
To ensure the project remains on track, resources are allocated efficiently, and the AI brain scanning system launches on time, we coordinated the three development teams throughout AI healthcare app development. This involved milestone tracking, risk mitigation, and resource allocation, along with quality assurance and strategic requirement alignment.
Tech stack
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Impact
As a result of our efforts, our client benefitted from several measurable improvements, including:
Drop us a line to discuss how we can help you turn raw data into real-time health insights.

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