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Traditional neurological testing relies on manual observation and recording, which is time-consuming, subjective, and prone to human error. The client wanted to digitize and streamline this process with an AI-powered mobile app capable of performing neurological testing. This task demanded balancing clinical accuracy, patient privacy, and real-world usability within a single mobile solution, where our team had to solve the following challenges:
Developing an AI system that performs movement assessments with local data processing and storage
Achieving precise limb (arm, leg) and eye movement tracking and ensuring reliable performance under varying lighting and camera conditions.
Designing a user-friendly interface that guides both neurologists and patients through each test step with minimal training
Implementing app security, data encryption, and other similar measures to meet healthcare standards
Establishing a foundation for expanding the product with additional neurological tests and potential integrations with medical systems
The It-Jim team developed a custom AI-driven iOS application that performs on-device neurological assessments using advanced computer vision, machine learning algorithms, and iOS optimization. The step-by-step approach ensured the final solution is accurate, privacy-compliant, and ready for real-world medical use. Doug Neuro AI app enables doctors to perform core neurological tests – pronator drift, leg drift, and eye movement – quicker, standardized, and accessible anytime, anywhere.
In the discovery phase, our team collaborated closely with Doug Labs’ neurologist to translate diagnostic expertise into quantifiable tests and tasks that AI could automate. We began our cooperation with in-depth consultations to d
With the completion of this first milestone, we have successfully established a clear roadmap for building a secure iOS app: product backlog, system architecture, and tech documentation. This milestone helped validate the concept and functionality of an AI-assisted mobile assessment tool for neurology.
With a clear understanding of the project flow, we developed a working prototype to validate the AI pipeline for accurately detecting and tracking body and eye movements using a smartphone camera. The app needed to run entirely on-device, so we used MediaPipe to track body landmarks and movements locally. After test recording, the app processes the MediaPipe data to analyze speed, direction, rotation, and symmetry of the patient’s arms, legs, and eyes. It then generates outcomes with a severity rating and saves the results in a JSON file.
This phase demonstrated that a lightweight mobile device can deliver clinically useful accuracy in a set of neurological tests.
After validating the PoC, we developed and launched the MVP - a ready-to-pilot version for healthcare professionals. MVP included three integrated neurological tests: Pronator drift test, Leg drift test, Eye movement test, Double Simultaneous Stimulation Speech test. Following rigorous testing, we successfully launched the MVP. This milestone represents a significant advancement for neurologists, offering them a portable and secure tool for early patient assessment and evaluation.
The MVP delivers instant in-app results from three main neurological tests, along with a structured JSON file containing diagnosis data, all processed locally for maximum patient security and privacy.
Our cooperation with Doug Neuro AI has introduced a unique digital, data-driven product for neurological examination, helping clinicians evaluate motor and eye functions quickly, consistently, and securely.
Result: This collaboration demonstrated how AI, computer vision, and on-device computing can accelerate neurological care, making it faster, safer, and more accessible. As a result, Doug Labs was able to offer a unique product that empowers clinicians and improves patient care.
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