Hematology

Latest AI and machine learning research in hematology for healthcare professionals.

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Early Detection of Acute Myeloid Leukemia (AML) Using YOLOv12 Deep Learning Model

Acute Myeloid Leukemia (AML) is one of the most life-threatening type of blood cancers, and its accu...

Uncertainty-quantified Pulse Signal Recovery from Facial Video using Regularized Stochastic Interpolants

Imaging Photoplethysmography (iPPG), an optical procedure which recovers a human's blood volume puls...

WBCBench 2026: A Challenge for Robust White Blood Cell Classification Under Class Imbalance

We present WBCBench 2026, an ISBI challenge and benchmark for automated WBC classification designed ...

PSIRNet: Deep Learning-based Free-breathing Rapid Acquisition Late Enhancement Imaging

Purpose: To develop and evaluate a deep learning (DL) method for free-breathing phase-sensitive inve...

Validated Synthetic Patient Generation for Small Longitudinal Cohorts: Coagulation Dynamics Across Pregnancy

Small longitudinal clinical cohorts, common in maternal health, rare diseases, and early-phase trial...

Advancements and limitations of image-enhanced endoscopy in colorectal lesion diagnosis and treatment selection: A narrative review.

Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for ea...

Apr 2026 40353217
Single-Cell Analysis of Microglia and Monocyte Dynamics Uncover Distinct TNF-a-driven Neuroimmune Signatures after Intracerebral Hemorrhage

Innate immune cells contribute to both secondary brain injury and repair following intracerebral hem...

Artificial intelligence-driven virtual tumorboard enhances precision care in myelodysplasticsyndromes

Background: Large language models (LLMs) perform well on standardized medical exam questions, but th...

Classification of Recurrence Status After Surgical Treatment of Chronic Subdural Hemorrhage - A Machine Learning Approach

Background Chronic subdural hematoma (cSDH) recurrence requiring reoperation occurs in 5-33% of case...

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

Early screening via colonoscopy is critical for colon cancer prevention, yet developing robust AI sy...

Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification

Automated white blood cell (WBC) classification is essential for leukemia screening but remains chal...

Attribution Upsampling should Redistribute, Not Interpolate

Attribution methods in explainable AI rely on upsampling techniques that were designed for natural i...

Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification

Automated white blood cell (WBC) classification is essential for leukemia screening but remains chal...

Heterogenous treatment effects of blood transfusion in hospitalized patients with congestive heart failure

Background: Anemia is nearly ubiquitous in hospitalized patients with congestive heart failure (CHF)...

Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging

Regular monitoring of glycemic status is essential for diabetes management, yet conventional blood-b...

UniCom: Unified Multimodal Modeling via Compressed Continuous Semantic Representations

Current unified multimodal models typically rely on discrete visual tokenizers to bridge the modalit...

BuildMamba: A Visual State-Space Based Model for Multi-Task Building Segmentation and Height Estimation from Satellite Images

Accurate building segmentation and height estimation from single-view RGB satellite imagery are fund...

CARE-Edit: Condition-Aware Routing of Experts for Contextual Image Editing

Unified diffusion editors often rely on a fixed, shared backbone for diverse tasks, suffering from t...

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