AIMC Topic: Leukemia, Promyelocytic, Acute
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Diagnosis and typing of leukemia using a single peripheral blood cell through deep learning.
Cancer science
Nov 18, 2024
Leukemia is highly heterogeneous, meaning that different types of leukemia require different treatments and have different prognoses. Current clinical diagnostic and typing tests are complex and time-consuming. In particular, all of these tests rely ...
Detection of acute promyelocytic leukemia in peripheral blood and bone marrow with annotation-free deep learning.
Scientific reports
Feb 13, 2023
While optical microscopy inspection of blood films and bone marrow aspirates by a hematologist is a crucial step in establishing diagnosis of acute leukemia, especially in low-resource settings where other diagnostic modalities are not available, the...
Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears.
BMC cancer
Feb 22, 2022
BACKGROUND: Acute promyelocytic leukemia (APL) is considered a hematologic emergency due to high risk of bleeding and fatal hemorrhages being a major cause of death. Despite lower death rates reported from clinical trials, patient registry data sugge...
Rapid screening of acute promyelocytic leukaemia in daily batch specimens: A novel artificial intelligence-enabled approach to bone marrow morphology.
Clinical and translational medicine
Jul 1, 2024
Evaluation of a machine-learning model based on laboratory parameters for the prediction of acute leukaemia subtypes: a multicentre model development and validation study in France.
The Lancet. Digital health
May 1, 2024
BACKGROUND: Acute leukaemias are life-threatening haematological cancers characterised by the infiltration of transformed immature haematopoietic cells in the blood and bone marrow. Prompt and accurate diagnosis of the three main acute leukaemia subt...
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