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Digital Family Doctor: Chatbot initial diagnosis from the University of Linz shortens waiting times

Susanne from Susanne
April 12, 2026
in Knowledge
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You wake up with a fever, cough, and wonder: Should I see a doctor, or is it okay to stay home? This exact decision is often difficult, especially because many general practices are overloaded. A new project from Linz wants to help here: an AI is supposed to assess your symptoms and tell you how urgent a doctor's visit really is.

What the AI family doctor „MIND“ is supposed to do differently

Instead of relying on pure symptom guessing, the team combines machine learning with symbolic AI and medical logic—plus simple home diagnostics. Translated: Symptoms, vital signs, and results from common home tests are consolidated and condensed into a comprehensible initial assessment. No black box, but explainable decisions that, if necessary, direct patients appropriately—to a doctor's office, emergency contacts, or simply: wait and see.

What does the system aim for?

In the first step towards what most frequently fills doctor's offices: colds and related respiratory illnesses – as well as high blood pressure. This is exactly where MIND wants to relieve doctors and physicians, so they have time for the truly urgent cases. Project leader Dr. Medina Hamidovic (Institute for Integrated Signal Processing and RF Systems at JKU) sums it up: „Reduce unnecessary doctor's visits, give patients peace of mind – and noticeably relieve the healthcare system.“

MIND made in Austria

Perhaps the most important twist: MIND is being built for Austria. Conceived regionally, integrated into the local healthcare system, and adapted to the digital health literacy of people here. Not an import from Silicon Valley, but „Made in Austria.“ This is not only politically fashionable but also practical: pathways, responsibilities, and realities of care differ – an AI that understands this logic makes better decisions.

An interdisciplinary team is behind the project: In addition to Hamidovic as head, Univ. Prof. Dr. Erika Zelko (Institute of General Practice, Medical Faculty of JKU) is co-head. Experts from medicine, machine learning, symbolic AI, and digital medicine are on board – including Univ. Prof. Dr. Martina Seidl, Dr. Roya Khanzadeh, Dr. med. Julia Fuger, and Univ. Prof. Dr. Helmut Salzer (JKU/Kepler University Hospital Linz). The mission: to bring together technology, medicine, and society – with strong roots in Upper Austria.

Hard Facts: Start is April 1, 2026, duration two years. MIND is funded with 250,000 Euros from the JKU funding program Lift_C. The goal is a prototype that is safe, comprehensible, and suitable for everyday use. A clinical version could follow afterward – either in another project or as a spin-off from the JKU.

Does the AI family doctor sound like something out of science fiction?

Sure. But it's also a message to a system under pressure: digital initial checks that are regionally anchored and respect medical logic can make the difference – between overcrowded waiting rooms and targeted care. The big question remains: can AI replace empathy? No. If MIND delivers on its promise, it doesn't replace a doctor's visit – it makes it possible where it's truly needed.

More about the Lift_C funding program 

 

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Tags: Digital General PractitionerInitial diagnosisAIMedicine

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