AI Algorithm Effectively Differentiates Between pre-PMF/ET :

A machine learning, artificial intelligence algorithm analyzing diagnostic bone marrow biopsy digital whole-slide images was able to effectively differentiate with 92.3% accuracy between prefibrotic primary myelofibrosis and essential thrombocythemia.

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Italy , Andrew Srisuwananukorn , Jamesm Dolezal , Moffitt Cancer Center , Center Study , University Of Chicago , University Of Florence , Ohio State University Comprehensive Cancer Center , World Health Organization , Ohio State University Comprehensive Cancer , Minerva High Performance Computer , Artificial Intelligence , Differentiates Prefibrotic Primary Myelofibrosis , Essential Thrombocythemia , Multi Center Study , New Clinical Decision Support , Artificial Intelligence Algorithm Analyzing Diagnostic Bone Marrow Biopsy Digital Whole Slide Images , Prefibrotic Primary Myelofibrosis , D , The Ohio State University Comprehensive Cancer Center ,