Hematology

Alzheimer's disease prediction using deep learning and XAI based interpretable feature selection from blood gene expression data.

Alzheimer's disease (AD), a type of neurodegenerative disorder, has seen an increase in cases over t...

Artificial intelligence in trauma care: applications, ethical challenges, and pathways toward responsible integration.

PURPOSE OF REVIEW: Artificial intelligence is increasingly applied across the trauma care continuum,...

A machine learning model for accurate prediction of CMV end-organ disease.

BACKGROUND: Cytomegalovirus (CMV) End-Organ Disease (EOD) remains a significant complication in immu...

Real-world evaluation of large language models in detecting drug-related problems: A clinical pharmacist-AI concordance study in hematology care.

IntroductionLarge language models (LLMs) offer potential as clinical decision support systems (CDSS)...

Prehospital Blood Collection for High Sensitivity Cardiac Troponin Measurement in Patients with Acute Chest Pain.

OBJECTIVES: High sensitivity cardiac troponin (hs-cTn) measures are used in the emergency department...

Advances in the postoperative care of the liver transplant recipient.

PURPOSE OF REVIEW: Survival rates following liver transplantation now exceed 90% at one year. Howeve...

Early individualized risk prediction using clinical data for children during the febrile phase of dengue in outpatient settings in Vietnam and Thailand.

Dengue severity prediction models are usually developed using hospitalized patient data, but triage ...

Spectral CT-derived extracellular volume fraction for pathological characterization and noninvasive T staging in colon cancer.

OBJECTIVES: To investigate the association between the extracellular volume fraction (ECV) quantifie...

Classification of twinkling artifacts and blood flow for in vivo detection of breast microcalcifications.

While mammography is the standard modality for detecting microcalcifications (MCs), their real-time ...

Development and validation of interpretable machine learning models for predicting long-term functional outcomes in elderly patients with aneurysmal subarachnoid hemorrhage.

BACKGROUND: Accurate prognostication in elderly patients with aneurysmal subarachnoid hemorrhage (aS...

Artificial intelligence and machine learning for precision warfarin dosing: a comprehensive narrative review.

BACKGROUND: Warfarin remains one of the most widely used anticoagulants; however, its narrow therape...

Interpretable deep learning model of circulating genomics for quantitative survival prediction in advanced non-small cell lung cancer.

PURPOSE: Accurate quantitative survival prediction in advanced non-small cell lung cancer (NSCLC) re...

Deep learning-integrated multilayer thermal gradient sensing platform for real-time blood flow monitoring.

Blood flow monitoring is fundamental for assessing cardiovascular health and identifying vascular co...

Predictors of Glycemic Response to Sulfonylurea Therapy in Type 2 Diabetes Over 12 Months: Comparative Analysis of Linear Regression and Machine Learning Models.

BACKGROUND: Sulfonylureas are commonly prescribed for managing type 2 diabetes, yet treatment respon...

A Large-Scale Peripheral Blood Cell Dataset for Automated Hematological Analysis.

White blood cell classification is fundamental to hematological diagnosis, yet existing datasets are...

Data-driven predictive modeling for massive intraoperative blood loss during living donor liver transplantation: Integrating machine learning techniques.

BACKGROUND: Massive intraoperative bleeding (IBL) in liver transplantation (LT) poses serious risks ...

Predictive value of hemoglobin-to-red cell distribution width ratio for mortality in new-onset atrial fibrillation after cardiac surgery a machine learning study based on the MIMIC-IV database.

Machine learning-assisted optimization of a terahertz photonic metamaterial absorber for blood cancer detection.

Blood cancer originates in the bone marrow and disrupts the body's normal hematopoietic processes. T...

Ultrasound-guided microwave ablation for breast tumors: current status and future perspectives.

Ultrasound (US)-guided microwave ablation (MWA) has emerged as a promising minimally invasive therap...

Single-cell Transcriptomic Profiling Reveals Diagnostic of T Cell-platelet Aggregates in Peripheral Blood for Coronary Vulnerable Plaques.

Acute coronary syndrome, driven by vulnerable plaque (VP) instability, is a major cause of cardiovas...

Artificial intelligence risk stratification from dynamic digital subtraction angiography radiomics predicts pulmonary embolism and associates with clinical outcomes in deep vein thrombosis: A retrospective cohort study.

OBJECTIVE: Current risk stratification for lower extremity deep vein thrombosis remains limited, oft...