Hematology

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

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Digital holographic deep learning of red blood cells for field-portable, rapid COVID-19 screening.

Rapid screening of red blood cells for active infection of COVID-19 is presented using a compact and...

Predictors of bleeding event among elderly patients with mechanical valve replacement using random forest model: A retrospective study.

Available classification tools and risk factors predicting bleeding events in elderly patients after...

[Complications of Da Vinci robot thyroid surgery by bilateral axillo-breast approach].

To evaluate the complications of Da Vinci robotic thyroid surgery by bilateral axillo-breast approa...

Evaluation of cuff deflation and inflation rates on a deep learning-based automatic blood pressure measurement method: a pilot evaluation study.

OBJECTIVE: The aim of this study was to evaluate the performance of using a deep learning-based meth...

[Clinical outcomes for young patients with muscular invasive bladder cancer who received robot-assisted radical cystectomy].

To evaluate the clinical features, surgical effects and factors that may affect prognosis of muscul...

Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease.

Understanding the mechanics of blood flow is necessary for developing insights into mechanisms of ph...

Machine Learning Prediction of SARS-CoV-2 Polymerase Chain Reaction Results with Routine Blood Tests.

OBJECTIVE: The diagnosis of COVID-19 is based on the detection of SARS-CoV-2 in respiratory secretio...

Augmented Human Intelligence and Automated Diagnosis in Flow Cytometry for Hematologic Malignancies.

OBJECTIVES: Clinical flow cytometry is laborious, time-consuming, and expensive given the need for d...

High-throughput label-free cell detection and counting from diffraction patterns with deep fully convolutional neural networks.

SIGNIFICANCE: Digital holographic microscopy (DHM) is a promising technique for the study of semitra...

Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning.

BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopen...

Advancing care for acute gastrointestinal bleeding using artificial intelligence.

The future of gastrointestinal bleeding will include the integration of machine learning algorithms ...

PV[O]H: Noninvasive Enabling Technology, New Physiological Monitoring, and Big Data.

INTRODUCTION: Measures of normal and abnormal physiology are interrelated and vary continuously. Our...

Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets.

BACKGROUND: The accuracy of current prediction tools for ischaemic and bleeding events after an acut...

Determination of Serum Perfluorooctanoic Acid and Perfluorooctanesulfonic Acid Levels with Different Stages of Chronic Kidney Disease.

The aim of this study is to investigate the perfluorooctanoic acid (PFOA) and perfluorooctanesulfoni...

Surgical management of secondary hyperparathyroidism in dialysis patients in Senegal.

Secondary hyperparathyroidism (SHPT) is a common complication of end-stage renal disease. Surgical m...

End-stage renal disease at dialysis initiation: Epidemiology and mortality risks during the first year of hemodialysis.

Chronic kidney disease (CKD) treated by hemodialysis (HD) is a worldwide major public health problem...

Effect of Ramadan Fasting on Chronic Inflammation and Body Composition in Patients with Chronic Kidney Disease.

Chronic kidney disease (CKD) is associated with a state of chronic inflammation which is responsible...

Prediction of Blood Glucose Concentration Based on CEEMD and Improved Particle Swarm Optimization LSSVM.

Aiming at the difficulty of accurate prediction due to the randomness and nonstationary nature of bl...

Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.

Current diagnostic methods for colorectal cancer (CRC) are colonoscopy and sigmoidoscopy, which are...

Identification of Blood-Based Glycolysis Gene Associated with Alzheimer's Disease by Integrated Bioinformatics Analysis.

BACKGROUND: Alzheimer's disease (AD) is one of many common neurodegenerative diseases without ideal ...

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