Hematology

Transcranial Doppler ultrasonography in geriatric anesthesia: moving toward personalized brain protection strategies.

The increasing volume of geriatric surgical procedures presents a critical challenge: protecting the...

mHealth-Enabled Stroke Screening for Pediatric Sickle Cell Disease in Low-Resource Settings: Systematic Literature Review of Critical Barriers, Emerging Technologies, and AI-Driven Solutions.

BACKGROUND: Sickle cell disease (SCD) is a genetic blood disorder affecting millions globally, with ...

Towards a physics informed digital twin to predict cerebral blood flow and cerebral vascular regulation.

Cerebral blood flow is essential for brain function and is governed by cerebral perfusion pressure a...

Development and validation of a machine learning model for predicting 6-month mortality in patients with infective endocarditis.

OBJECTIVE: This study aimed to develop and validate a machine learning (ML)-based model for predicti...

Development and validation of a nomogram for predicting advanced chronic kidney disease.

The objective of this study was to develop and validate a nomogram for predicting advanced chronic k...

Artificial intelligence in orthopedics: current applications, challenges, and future directions.

BACKGROUND: Artificial intelligence research in orthopedics has grown rapidly, yet a substantial gap...

Machine learning based prediction of platelet concentration from ROTEM measurements.

Machine learning in the prediction of liver iron concentration and iron chelation therapy adjustment.

OBJECTIVES: Iron chelation therapy titration is managed by hematologists who monitor iron levels and...

An explainable online frailty prediction model for community-dwelling older adults based on machine learning algorithms: a cross-sectional study based on retrospective health data.

BACKGROUND: Frailty is a significant health concern associated with diminished physiological reserve...

Constructing a corpus of hematologic pathology notes for the fine-tuning of BERT models for named entity recognition.

BACKGROUND: Microscopic, immunologic, and chemical testing play a major role in the diagnostic proce...

Exploratory prediction model for deep vein thrombosis in intensive care patients after anticoagulation therapy: An observational study.

BACKGROUND: Despite low-molecular-weight heparin (LMWH) prophylaxis, the incidence of deep vein thro...

Predicting one-year mortality risk in ICU patients with ischemic stroke using multi-algorithm machine learning and a nomogram.

Introduction: Ischemic stroke is a leading cause of mortality, and patients requiring intensive care...

CREsted: modeling genomic and synthetic cell-type-specific enhancers across tissues and species.

Sequence-based deep learning models have become the state of the art for analyzing the genomic regul...

LCPBert: ProtBERT-based early-stage lung cancer prediction from T cell receptor beta sequences.

Early detection of lung cancer remains challenging due to limitations of current methods. We develop...

Artificial Intelligence-Based Exosome Analysis for Improving Diagnostic Performance of Breast Lesions on Ultrasound: Protocol of a Prospective, Multicenter Cohort Study.

PURPOSE: Exosome-surface enhanced Raman spectroscopy-artificial intelligence platform (exosome-SERS-...

mRNA vaccines in cancer immunotherapy: current progress and perspectives in solid tumors and hematologic malignancies.

The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the developm...

Re-evaluating heart rate variability biomarkers for glucose sensing: the impact of age normalisation and subject-independent validation.

BACKGROUND: Heart rate variability (HRV) derived from electrocardiogram (ECG) signals offers a promi...

Machine Learning-assisted Prediction of Fluid Overload and Its Nursing Implications in Patients With Acute Pancreatitis.

Fluid overload (FO) is a critical complication in acute pancreatitis (AP), contributing to prolonged...

Predictive Value of Machine Learning for Mortality Risk in Acute Pancreatitis: A Systematic Review and Meta-Analysis.

BACKGROUND: Acute pancreatitis (AP), a common acute abdominal disease, has a high mortality rate in ...

Fetal pHocus: A Novel Approach to Non-Invasive Fetal Arterial Blood pH Assessment via Near-Infrared Spectroscopy.

Modern intrapartum fetal health assessments are currently limited to monitoring heart rate and spati...

Assessment of the risk of bacteremia in patients with hematologic malignancies in the emergency department: A comparative study between logistic regression and machine learning algorithms.

OBJECTIVE: To stratify the risk of bacteremia at the time of emergency department (ED) admission in ...