A hands-on workshop was conducted in Debrecen focusing on how health science students can utilize artificial intelligence and natural learning models to develop practical digital health solutions. Participants explored the intersection of healthcare knowledge and technology, demonstrating that impactful public health tools can be created without formal computer science training.
The session incorporated expertise from Copernicus Berlin e.V. and guidance from Aleksandr, introducing practical frameworks to translate healthcare challenges into innovative AI-supported applications. Emphasis was placed on designing digital tools that address real public health needs and stand out in the competitive digital health landscape.
Students combined statistical thinking, health science domain knowledge, and emerging AI tools to rapidly prototype functional health applications. The informal and collaborative environment encouraged experimentation, enabling participants to conceptualize and develop working prototypes using accessible development tools.
One key outcome was a prototype application providing information on sexually transmitted infections (STIs) and connecting users with nearby clinics. This tool offers educational resources, symptom guidance, and facilitates access to healthcare services. The application is available at .
Significantly, the application was developed entirely by health science students without prior coding experience, leveraging AI-assisted development tools to transform healthcare knowledge into a functional digital product. This achievement highlights the potential for interdisciplinary innovation in public health, demonstrating that meaningful digital health solutions can emerge from healthcare education environments outside traditional technical disciplines.
