Curation of articles, reviews, and news on the intersection of Artificial Intelligence and Hematology.

Critical review published in Blood highlights how machine learning models are improving risk stratification in myeloid neoplasms and impacting therapeutic decisions.

Recent Nature Scientific Reports study evaluates the accuracy of three major LLMs in creating multiple-choice questions for hematology board review.

US regulatory agency grants 'De Novo' approval for AI system assisting in differential diagnosis of rare lymphomas via digital immunophenotyping.

Comparative analysis published in Blood shows AI achieved parity with experienced hematologists in initial screening of complex cases but failed in subtle clinical nuances.

Step-by-step guide for hematopathologists to use Stanford's new AI platform for remote second opinions and slide analysis.

How new 'Full-Field Digital Morphology' technologies are transforming the hematology lab, enabling remote diagnostics and permanent digital archiving.