Fields of Application

Health & Medicine

In medicine, AI has the potential to diagnose difficult-to-detect diseases earlier and to optimize treatment. In areas where it is superior to human capabilities, it can support and relieve doctors and medical staff: in image processing, pattern recognition, the evaluation of large amounts of medical data or the comparison of symptoms. It helps with practical training and further education and allows intuitive operation of instruments and devices. Intelligent systems also actively support therapy and rehabilitation. In the area of Ambient Assisted Living, their use improves the quality of life of elderly or disadvantaged people.

News

At the International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE), which took place from 17 to 20 August 2021...

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Trustworthy AI and AI for medicine were the two thematic pillars of the first joint summer school of the French national research institute for...

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Der Digitaltag wird getragen von der Initiative „Digital für alle“, einem Bündnis von mehr als 25 Organisationen aus den Bereichen Zivilgesellschaft,...

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Projects

Prädiktion von adverse events mittels Künstlicher Intelligenz und Ambient Assisted Living-Systemen in der Häuslichkeit von pflegebedürftigen Personen

The goal is to develop a risk assessment module for a smart home platform with a focus on "smart ageing". A collection of sensors is installed in the volunteers' flats and their base health status...

Protected Artificial Intelligence Innovation Environment for Patient Oriented Digital Health Solutions for developing, testing and evidence based evaluation of clinical value.

Developments in recent years, such as low-cost hardware for enormous computing power and machine learning techniques, have given AI new impetus in medicine as well, and in many medical application...

HealthcAIre

Ziel dieses Projekts ist es, einen Beitrag zur Schaffung struktureller Grundlagen für den Einsatz Künstlicher Intelligenz in der Medizindomäne zu leisten, so dass Potenziale auch kurzfristig...

SEEvacs - Simulation-based Evolution and Evaluation of Vaccination Strategies in COVID-19-pandemics

Im Rahmen des Projekts EpideMSE am Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM) ist eine Simulationsplattform entstanden, die die tagesaktuellen COVID-19-Fallzahlen des RKI...

KI-Verfahren erkennen Qualität von Spenderhornhäuten

In Deutschland werden jährlich mehr als 9.000 Hornhauttransplantationen durchgeführt. Trotz strenger Qualitätskriterien sind bei etwa 4-5 % der Transplantate postoperativ warzenförmige Veränderungen...

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz