We are excited to share our latest invited review article – the product of an amazing collaboration with our dear colleagues from the MLL Münchner Leukämielabor led by Prof. Dr. med. Dr. phil. Torsten Haferlach – examining how artificial intelligence permeates diagnostics in hematology.
Acute myeloid leukemia has long served as a model disease in hematology offering fertile ground for innovation in diagnostics, risk stratification, and targeted therapies. In this review, we explore how artificial intelligence and machine learning are now pushing the boundaries of what’s possible in AML diagnostics, from cytomorphology to genomics and integrated decision support while challenges like data access, seamless integration in laboratory and clinical workflows and regulatory oversight remain to be overcome.
Read the article here: https://lnkd.in/ea9EPPdu
