We developed state-of-art artificial intelligence from retrospective data of acute leukemia patients to create two services:
-	Residual disease detection: an advanced algorithm to perform multicolor flow cytometry analysis on bone marrow specimens of acute leukemia patients.
-	RelapseMortality Prediction: a comprehensive risk stratificationoutcome prediction models for acute myeloid leukemia patients using historical examinationtreatment records.

"-	The residual disease detection model could reduce the interpretation time from 20 minutes to 7 seconds for each sample with an accuracy of 90 compared to the physician＇s manual interpretation.
-	The relapsemortality prediction model could be perf"

"-	Residual disease detection model not only reduces the interpretation time but also the inter-interpreter idiosyncrasy between physicians. 
-	Relapsemortality prediction model assist the clinicians to adjust treatment plan according to risk through"