EVA-KI

Establishing a platform for development and validation of AI solutions in clinical routine

Together with a consortium of partners from Darmstadt, Essen, Göttingen and Munich we will establish a platform for development and validation of AI solutions in clinical routine. The project is funded with a total of 1.7 million euros from the German Federal Ministry of Health (BMG) as part of the digital innovations for improving patient-centered care in the healthcare system.

The platform will use data from structured radiological reports and apply continuous learning techniques to train an algorithm for detection of pulmonary embolism. Additionally, we will study various organizational aspects ranging from human-machine interaction to health economics and ethis.

Information:

  • status: ongoing, started in Oct. 2020

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Daniel Pinto dos Santos
Assistant Professor

My research interests include data science, artificial intelligence and structured reporting in radiology.