Hematology

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

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Machine learning identifies clinical sepsis phenotypes that translate to the plasma proteome: a prospective cohort study

Sepsis therapy is still limited to treatment of the underlying infection and supportive measures. To...

DISCO: A Delta-NIHSS-Based Machine Learning Model for Predicting Recurrence, Disability, and Mortality Following Acute Ischemic Stroke

An accurate, robust, clinically accessible, and explainable predictive model for post-stroke composi...

Predictors of Anemia in Ethiopia: A Systematic-Review of Machine Learning Approaches

Anemia remains a critical public health issue globally which is disproportionately affecting populat...

Predicting ICU Readmission in Acute Pancreatitis Patients Using a Machine Learning-Based Model with Enhanced Clinical Interpretability

Acute pancreatitis (AP) is a common and potentially life-threatening gastrointestinal disease that p...

PlasmoCount 2.0: Rapid Multi-Species Malaria Parasite Detection Using Deep Learning

Visual examination of Giemsa-stained red blood cell smears is the gold-standard for identification o...

A comparative analysis of dengue, chikungunya, and Zika in a pediatric cohort over 18 years

Dengue, chikungunya, and Zika are diseases of major human concern. Differential diagnosis is complic...

Domain specific models outperform large vision language models on cytomorphology tasks

Large vision-language models (LVLMs) show impressive capabilities in image understanding across doma...

AI enabled exome and transcriptome liquid biopsy platform spanning the continuum of care in oncology

Effective clinical management of patients with cancer requires highly accurate diagnosis, precise th...

Radiologist-AI workflow can be modified to reduce the risk of medical malpractice claims

Artificial Intelligence (AI) is rapidly changing the legal landscape of radiology. Results from a pr...

Artificial Intelligence for Pre-Anaemic Iron Deficiency Detection Using Rich Complete Blood Count Data

Iron deficiency (ID) is a major contributor to global disease burden and the leading cause of anaemi...

Machine Learning-Based Identification of Sickle Cell Disease Subphenotypes in Clinical Trial Data

Sickle Cell Disease (SCD) is a rare autosomal recessive disorder caused by a point mutation producin...

DWI and Clinical Characteristics Correlations in Acute Ischemic Stroke After Thrombolysis

Magnetic Resonance Diffusion-Weighted Imaging (DWI) is a crucial tool for diagnosing acute ischemic ...

CEREBLEED: Automated quantification and severity scoring of intracranial hemorrhage on non-contrast CT

Intracranial hemorrhage (ICH), whether spontaneous or traumatic, is a neurological emergency with hi...

AI-Driven Personalization of Dual Antiplatelet Therapy Duration Post-PCI: A Novel Approach Balancing Ischemic and Bleeding Risks

Precision-guided dual antiplatelet therapy (DAPT) duration post-percutaneous coronary intervention (...

Prompt injection attacks on vision-language models for surgical decision support

Artificial Intelligence-driven analysis of laparoscopic video holds potential to increase the safety...

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