For us, medical AI is not “magic diagnostics”. It is engineering work with real processes: accounting, control, search, visual recognition, staff support and prototyping solutions that can be tested together with specialists.
The Artificial Intelligence Technology Laboratory at LNU works with healthcare scenarios where AI can help structure workflows, accelerate information search, reduce manual routine or test a new digital process model.
We treat such projects as research and engineering prototypes. Before practical use in a healthcare environment, every solution requires requirements analysis, testing, data-safety review and approval by responsible specialists.
We see the strongest potential in applied tasks where the result and the quality of the system can be clearly measured.
Medical AI solutions should be explainable, verifiable and aligned with staff workflows. We do not replace a clinician with an algorithm; we create tools that help with data, visual control, operational coordination and documentation.
This research can be useful for hospitals, rehabilitation centres, university clinics, medical departments, non-profit initiatives and public or municipal institutions digitising healthcare workflows.
Research Surgical Instrument Recognition System for St. Panteleimon Hospital The laboratory researched and developed a camera-based computer vision system for recognizing, training and digitally cataloguing thousands of surgical instruments.
Research Research and Development of a CRM System for Unbroken Hospital The laboratory researched and developed a demonstrational CRM system for a medical institution: patients, staff, wards, tasks, NK 025:2021 diagnoses, PDF reports, permissions and audit logs.
The laboratory can research AI approaches for medical scenarios, but any diagnostic solution requires separate clinical validation, legal review, data protection and approval by responsible medical specialists.
The best fit is a task with a clear process and data: object recognition, internal accounting, classifier search, department analytics, CRM, report automation or research prototypes.
Yes. The laboratory is open to non-commercial and socially useful healthcare projects when there is a responsible partner, a clear goal, ethical data handling and a realistic result format.
The laboratory is ready to discuss research, prototypes and non-commercial projects with universities, laboratories, companies, hospitals and public institutions.
