
Dresden, Germany
Image-based explainable AI accurately identifies myelodysplastic neoplasms beyond conventional signs of dysplasia
Cytomorphologic analysis of the bone marrow is crucial for the initial diagnosis of myelodysplastic neoplasms (MDS), yet the accurate identification of dysplastic features is often challenging, time-consuming, and prone to…
Dresden, Germany
AI for risk assessment and outcome prediction in malignant haematology
Artificial Intelligence is reshaping risk prediction and personalized treatments in hematology. In our new review now published in the British Journal of Haematology, we provide a comprehensive overview of machine…

Dresden, Germany
Promises and challenges of AI in haematological diagnostics
Artificial intelligence is set to revolutionize medicine, but its implementation is not without challenges. Bias mitigation, seamless integration into diagnostic and clinical workflows, and AI literacy for clinicians is essential.…
Dresden, Germany
Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence
Clinical trials become increasingly more expensive and time-consuming. High failure rates especially in late phase trials put a substantial financial burden on healthcare systems and pharmaceutical companies. Hence, a paradigm…













