Interpretable Artificial Intelligence Differentiates Prefibrotic Primary Myelofibrosis from Essential Thrombocythemia - report from ASH2023

Professor Andrew Srisuwananukorn's research revealed that an AI-powered machine learning algorithm, when examining digital whole-slide images of diagnostic bone marrow biopsies, accurately distinguished between prefibrotic primary myelofibrosis and essential thrombocythemia with an 92.3% accuracy rate, according to data presented at the 2023 ASH Annual Meeting. Video: https://medicaldigest.org/scientific-contents/interview:interpretable-artificial-intelligence-differentiates-prefibrotic-primary-myelofibrosis-essential-thrombocythemia