Journal
BLOOD
Volume 138, Issue 19, Pages 1790-1792Publisher
AMER SOC HEMATOLOGY
DOI: 10.1182/blood.2021012455
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Awada et al demonstrate the utility of artificial intelligence algorithms in predicting prognosis in acute myeloid leukemia by defining novel molecular groupings. This study highlights the expanding applications of machine learning in medicine.
As applications for machine learning in medicine continue to expand, Awada et al demonstrate the utility of artificial intelligence algorithms for predicting prognosis in acute myeloid leukemia (AML) by defining novel molecular groupings.(1)
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