The present project will develop an automated machine learning approach using multi-modality data (imaging, laboratory, electrocardiography and questionnaire) to increase the understanding and prediction of arising heart failure in patients scheduled for cardio-toxic chemotherapy. This algorithmus will be developed by the technical cooperation partner at Technion, the institut for biomedical engineering in Haifa, Israel.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Change in LVEF from baseline to one year, as determined by MRI as gold standard according to random study group allocation
Timeframe: one year