Deep learning aids acute myeloid leukemia diagnosis from bone marrow smears

By PulseAugur Editorial · [1 sources] · 2026-06-09 11:45

Researchers have developed a deep learning pipeline to assist in the diagnosis of acute myeloid leukemia (AML) by analyzing bone marrow smear images. The system processes individual cell images to identify a composite blast-like cell category, then aggregates these findings to provide a patient-level diagnostic score. This approach demonstrated strong performance, achieving F1-scores above 0.86 in external validation across multiple centers. AI

IMPACT This research demonstrates a novel application of deep learning in medical diagnostics, potentially improving the efficiency and accuracy of AML detection.

RANK_REASON The cluster contains an academic paper detailing a new methodology for medical diagnosis using deep learning. [lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Gen Yang · 2026-06-09 11:45

Patient-Level Diagnosis of Acute Myeloid Leukemia via Deep Learning Analysis of Bone Marrow Smear

Bone marrow smear review remains important for acute myeloid leukemia (AML) assessment, but manual single-cell interpretation is labor-intensive and patient-level diagnosis requires aggregation of many cellular observations. We present a cell-to-patient deep learning pipeline for…

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Patient-Level Diagnosis of Acute Myeloid Leukemia via Deep Learning Analysis of Bone Marrow Smear

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