Anam Abid

Artificial Intelligence in Leukemia Diagnosis: Applications, Datasets, and Barriers to Clinical Translation

Leukemia diagnosis requires the integration of morphology, hematological parameters, immunophenotyping, cytogenetic or molecular findings, and clinical information. Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), is increasingly being investigated as an adjunct to these diagnost...