Kid AID is an innovative project at the intersection of medicine, education, and technology, designed to increase the safety of the youngest patients by using artificial intelligence to support the assessment of a child’s condition. Our team supported the initiative strategically, technologically, and in design, helping create a solution that combines real clinical needs with an intuitive user experience.
Our role in the project
As the project’s technology partner, we were responsible for:
- developing the system architecture concept, including the educational application and the AI-powered video analysis module,
- designing the user experience (UX/UI) for physicians and medical students,
- preparing an environment that enables AI model training using secure, GDPR-compliant data,
- supporting the planning of clinical validation and phased implementation of the application.
Project objective
The project aims to help young physicians learn how to practically assess a child’s condition — from first contact to treatment decisions. In later stages, the system will use AI to analyze video recordings and detect subtle clinical signs that often go unnoticed by inexperienced clinicians.
Challenge and innovation
Assessing a child is one of the most challenging tasks in medical practice. Kid AID responds to this challenge by combining simulated real clinical cases, multimedia materials, and feedback mechanisms — all within a safe digital training environment.
This allows young physicians to refine their decision-making interactively and, in the future, to use a diagnostic tool enhanced with artificial intelligence.
Project value
Kid AID demonstrates how modern technologies can support clinical education and the diagnostic process without replacing the physician. The project combines ethical use of medical data, evidence-based methodology, and user-centered design — key values in modern med-tech solutions.