Welcome to the

Network for
Artificial Intelligence
in Medicine

AI in Medicine and Research – Secure, Connected, Practice-oriented.

KIMed is an interdisciplinary research network based in Saxony that promotes the use of Artificial Intelligence (AI) in medicine. We bring together national and international stakeholders from research, healthcare, computer science and industry. Do you work with medical data or develop AI solutions?

Join our network and play an active role in shaping the future of AI-driven innovation in medicine.

Discover the Potential
of Our Network

Our Network –
Stronger Together

The network actively shapes medical progress – for improved healthcare, research and education. KIMed brings together research organisations, healthcare institutions, industry partners and public-sector stakeholders. Start-ups, small and medium-sized enterprises, and emerging teams are equally welcome to become part of the network and help shape future AI innovations in medicine.

Funded Partners

Leipzig University

Dresden University of Technology

Mittweida University of Applied Sciences

Network Partners

Klinikum Chemnitz gGmbH

University Hospital Carl Gustav Carus Dresden

Else Kröner Fresenius Center for Digital Health

University of Leipzig Medical Center

Bechtle AG | IT System House Leipzig

Max Planck Institute for Human Cognitive and Brain Sciences

eureos GmbH

Voices from the Network

© Universität Leipzig / Christian Hüller

Prof. Dr. Ingo Bechmann

Dean, Faculty of Medicine, Leipzig University

By bringing together expertise and resources, a strong infrastructure for AI applications in medicine can be created, offering members of the new network opportunities for knowledge exchange, consultation and further training.

© LIFE Management Cluster

Matthias Reusche

Head of IT Operations, LIFE Management Cluster, Faculty of Medicine, Leipzig University

Exchange connects perspectives: together, we bring people, needs and experiences together within the network so that new AI solutions can emerge.

© Hochschule Mittweida

Prof. Dr. Thomas Villmann

Director of SICIM, Mittweida University of Applied Sciences

Trustworthy AI and data security are essential to maintaining the relationship of trust between healthcare professionals and patients, including in digitally supported medicine.

© Hochschule Mittweida

Dr. Marika Kaden

Research Associate, Mittweida University of Applied Sciences

KIMed establishes a network for exchanging solution approaches and providing support with infrastructural challenges, helping researchers and clinicians to identify and process sensitive medical data.

@ PicturePeople

Cornelia Dolling

Head of Communications, LIFE Management Cluster, Faculty of Medicine, Leipzig University

KIMed connects people, perspectives and expertise, thereby creating an important foundation for exchange, orientation and the development of shared concepts around AI in medicine.

© Michael Kretzschmar, Universitätsklinikum Dresden

Dr. Kathrin Sobe

Research Associate, Institute for Medical Informatics and Biometry (IMB), Faculty of Medicine Carl Gustav Carus, Dresden University of Technology

KIMed establishes a network for exchanging solution approaches and providing support with infrastructural challenges, helping researchers and clinicians to identify and process sensitive medical data.

@ Michael Kretzschmar, Universitätsklinikum Dresden

Marcel Dilje

Research Associate, Institute for Medical Informatics and Biometry (IMB), Faculty of Medicine Carl Gustav Carus, Dresden University of Technology

The greatest challenge in developing medical AI systems is protecting patient data. KIMed offers an approach for Saxony to overcome this challenge.

@ Michael Kretzschmar/ Universitätsklinikum Dresden

Dr. Claudia Heine

Scientific Manager for Communication, Institute for Medical Informatics and Biometry (IMB), Faculty of Medicine Carl Gustav Carus, Dresden University of Technology

As a large-scale network, KIMed creates space for interdisciplinary dialogue and essential networking: between healthcare, research, IT, established digital health companies and young, exciting start-ups.

© Michael Kretzschmar, Universitätsklinikum Dresden

Prof. Dr. Dr. Martin Sedlmayr

Professor of Medical Informatics, CDO CDIH, Head of the Centre for Medical Informatics, Institute for Medical Informatics and Biometry (IMB), Faculty of Medicine Carl Gustav Carus, Dresden University of Technology

Clinical research today depends more than ever on collaboration across locations and disciplines. This makes KIMed’s approach of creating a shared and connected ecosystem that sustainably promotes exchange and collaboration all the more important.

© Ina Würfel, Universitätsmedizin Leipzig

Maryam Khodaei Dolouei

Research Associate, Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University

For AI to find its way into healthcare, research needs reliable access to data, secure infrastructures and strong networks. KIMed provides the foundation for this.

@ Michael Kretzschmar/ Universitätsklinikum Dresden

Prof. Dr. Uwe Platzbecker

Chief Medical Officer, University Hospital Carl Gustav Carus Dresden

The KIMed network brings together expertise to advance the application of AI in medicine and thereby strengthen the quality, efficiency and future viability of patient care.

© www.foto-steinke.de

Katja Peters

Key Account Manager

KIMed brings us together with strong partners from the clinical and research sectors, enabling us to work together to create sustainable IT solutions for healthcare.

News

Stay informed: Explore the latest articles, events and news from KIMed at a glance.

News

Recap and Video Recording of the First KIMed Webinar

How to (Not) Build a RAG System – Lessons Learned from Developing an Intelligent Search System for Patient Records

News

2nd KIMed Network Partner Forum in Dresden: Bringing AI Applications into Healthcare

AI in medicine: a discussion on practical application and transfer

Press releases

New Network Brings Together Data for Artificial Intelligence

Strengthening Medical Research in Saxony with AI

Do you work with medical data or develop AI solutions?

Join our network and play an active role in shaping AI innovations. Together, we promote the responsible use of AI in medicine and research.

Co-funded by the European Union
This project is co-financed from tax revenues on the basis of the budget adopted by the Saxon State Parliament
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