Hematology

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

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Investigating the correlation between smoking and blood pressure via photoplethysmography.

Smoking has been widely identified for its detrimental effects on human health, particularly on the ...

Biological markers and psychosocial factors predict chronic pain conditions.

Chronic pain is a multifactorial condition presenting significant diagnostic and prognostic challeng...

Automatic CTA analysis for blood vessels and aneurysm features extraction in EVAR planning.

Endovascular Aneurysm Repair (EVAR) is a minimally invasive procedure crucial for treating abdominal...

Investigation of Bleeding Disorders: When and How Should We Test Platelet Functions?

Inherited platelet disorders (IPDs) are rare conditions with diverse underlying pathophysiology whic...

Artificial intelligence-assisted diagnosis of early allograft dysfunction based on ultrasound image and data.

Early allograft dysfunction (EAD) significantly affects liver transplantation prognosis. This study ...

A Multichannel Continuum Robot for Diagnosis and Treatment of Vascular Lesions.

In recent years, continuum soft robots have emerged as a promising avenue for the advancement of th...

Application of machine learning for the analysis of peripheral blood biomarkers in oral mucosal diseases: a cross-sectional study.

BACKGROUND: Oral mucosal lesions are widespread globally, have a high prevalence in clinical practic...

Blood-brain barrier crossing biopolymer targeting c-Myc and anti-PD-1 activate primary brain lymphoma immunity: Artificial intelligence analysis.

Primary Central Nervous System Lymphoma is an aggressive central nervous system neoplasm with poor r...

A novel scheme for non-invasive drug delivery with a magnetically controlled drug delivering capsule endoscope.

There is a lack of effective means for precise drug delivery of gastrointestinal diseases. Herein we...

Clinical Bedside Benchmarking Test for Measuring the Total Hemoglobin Concentration.

OBJECTIVE: Accurate total hemoglobin concentration (ctHb) measurement is critical for clinical decis...

AI Applications in Transfusion Medicine: Opportunities, Challenges, and Future Directions.

BACKGROUND: Artificial intelligence (AI) is reshaping healthcare, with its applications in transfusi...

Noninvasive blood glucose monitoring using a dual band microwave sensor with machine learning.

The potential for continuous non-invasive blood glucose monitoring has attracted a lot of interest i...

Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET: A simulation study.

BACKGROUND: Cardiac perfusion PET is commonly used to assess ischemia and cardiovascular risk, which...

Probability Score for the Diagnosis of Periprosthetic Joint Infection: Development and Validation of a Practical Multi-analyte Machine Learning Model.

Background and objective The diagnosis of periprosthetic joint infection (PJI) relies on established...

Unsupervised Deep Learning for Blood-Brain Barrier Leakage Detection in Diffuse Glioma Using Dynamic Contrast-enhanced MRI.

Purpose To develop an unsupervised deep learning framework for generalizable blood-brain barrier lea...

An APRI+ALBI-Based Multivariable Model as a Preoperative Predictor for Posthepatectomy Liver Failure.

OBJECTIVE AND BACKGROUND: Clinically significant posthepatectomy liver failure (PHLF B+C) remains th...

[Serum proteomics and machine learning unveil new diagnostic biomarkers for tuberculosis in adolescents and young adults].

Adolescents and young adults (AYAs) are one of the major populations susceptible to tuberculosis. Ho...

Extracting Regions of Interest and Selective Feature Application in Leukaemia Image Classification.

Evaluating the blood smear test images remains the main route of detecting the type of leukaemia, ac...

Big data analytics and machine learning in hematology: Transformative insights, applications and challenges.

The integration of big data analytics and machine learning (ML) into hematology has ushered in a new...

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