SOURCE-LINKED INTELLIGENCE

Intelligent Optoacoustic Radiomics via Synergistic Integration of System Models and Medical Knowledge

CORDIS · observation · Publication date unknown

mathematics and data science - is on the verge of becoming a main player in clinical research and medicine. However, the current radiomics workflow mostly relies on feature engineering and black box machine learning, lagging behind the state-of-the-art in explainable artificial intelligence. I will exploit my broad expertise in mathematics, informatics, and biomedical imaging to implement intelligent radiomics by integrating the whole imaging value chain - ranging from imaging hardware, over image formation, to medical interpretation of the data - into an intelligent software environment. EchoLux is a paradigm shift from black box machine learning to truly intelligent radiomics. EchoLux will be realized in three steps: 1) Modelling the imaging system via a digital twin approach using dedicated physical phantom data and a reference dataset acquired from healthy volunteers; 2) Development and integration of a medical knowledge base that captures the effects of disease on the imaged tissue; 3) Integration of system and medical tissue models into a Bayesian reasoning framework that is a

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recordType

award

status

SIGNED

region

EU

value

1499976

unit

EUR