Hematology

Leukemia

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

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Predicting Acute Cerebrovascular Events in Stroke Alerts Using Large-Language Models and Structured Data

Acute stroke alerts are often activated for non-cerebrovascular conditions, leading to false positiv...

Genomic Classification of Acute Lymphoblastic Leukemia Using AI: Towards Personalized Medicine

Acute lymphoblastic leukemia is a highly heterogeneous hematologic malignancy that poses significant...

Leveraging transfer learning from Acute Lymphoblastic Leukemia (ALL) pretraining to enhance Acute Myeloid Leukemia (AML) prediction

We overcome current limitations in Acute Myeloid Leukemia (AML) diagnosis by leveraging a transfer l...

Artificial Intelligence Models for Predicting Molecular Pathway Activity in Spinal Cord Injury: A Systematic Review

Spinal cord injury (SCI) remains a devastating neurological condition with high global incidence and...

A Multi-Task Deep Learning Model for Pediatric Echocardiography Analysis

Congenital heart defects afflict nearly 1% of all births worldwide. While deep learning algorithms h...

Proteomic signatures and machine learning based-prediction models for cardiovascular risk in survivors of myocardial infarction

Survivors of myocardial infarction (MI) are still at risk for adverse long-term outcomes such as all...

Detecting Scoliosis at Scale Using Automated Cobb Angle Analysis in the UK Biobank

Adult degenerative scoliosis arises after skeletal maturity in an initially normal spine, primarily ...

Intraoperative classification of glioblastoma through near real-time stimulated Raman scattering microscopy

Glioblastoma is a highly malignant brain tumor in which maximal safe resection is associated with im...

Precision Immunosuppression and Long-Term Kidney Transplant Outcomes: A Dual Survival Modeling Framework

Optimizing immunosuppressive therapy remains central to improving long-term outcomes after kidney tr...

Machine Learning Analysis of Post-Acute COVID Symptoms Identifies Distinct Clusters, Severity Groups, and Trajectories

Questionnaires that capture patient-reported symptomatology provide low-cost but potentially high-va...

Investigating the Data Addition Dilemma in Longitudinal TBI MRI

Clinical machine learning (CML)for brain MRI often assumes that more data guarantees better performa...

Conversational Artificial Intelligence-Based Integration of Clinical and Genomic Data Identifies MAPK Alterations in Colorectal Cancer

Colorectal cancer (CRC) exhibits marked heterogeneity across age, ancestry, and treatment context, u...

Surface EEG to identify cognitive motor dissociation after acute brain injury

Cognitive motor dissociation (CMD) is associated with long-term recovery in acute brain injury, but ...

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