Predicting RUNX1::RUNX1T1 genetic abnormalities in acute myeloid leukemia from bone marrow smears: Can artificial intelligence do better?

Predicting RUNX1::RUNX1T1 genetic abnormalities in acute myeloid leukemia from bone marrow smears: Can artificial intelligence do better?

Summary: The presence of the RUNX1::RUNX1T1 fusion gene in acute myeloid leukemia (AML) is associated with distinct morphological characteristics of myeloblasts. This study aims to assess the capability of artificial intelligence (AI) in identifying genetic abnormalities based on cell morphology. Th...

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Bibliographic Details
Main Authors: Hui Cheng, Jing Ding, Juan Wang, Yujun Xiao, Xinyi Jin, Yan Zhang, Yuanyuan Yang, Huangmeng Xu, Xinyi Cao, Fangyu Guo, Jianmin Yang, Jiatao Lou, Gusheng Tang
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:iScience
Subjects:
Oncology
Diagnostics
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004225012593
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http://www.sciencedirect.com/science/article/pii/S2589004225012593

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