The detection of genetic aberrations is crucial for early therapy decisions in acute myeloid leukemia (AML) and is recommended for all patients. Since genetic testing is expensive and time-consuming, a need remains for cost-effective, fast, and broadly accessible tests to predict these aberrations in this aggressive malignancy. Here, we developed a novel fully automated end-to-end deep learning pipeline to predict genetic aberrations directly from single-cell images from scans of …