Hematology

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

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Blood loss in one-stage bilateral total knee arthroplasty: cruciate-retaining vs. posterior stabilized. A propensity score-matched analysis.

INTRODUCTION: Although single-stage bilateral total knee arthroplasty (BTKA) presents several advant...

Dec 2024 39715445
Accurate prediction of bleeding risk after coronary artery bypass grafting with dual antiplatelet therapy: A machine learning model vs. the PRECISE-DAPT score.

BACKGROUND: Dual antiplatelet therapy (DAPT) after coronary artery bypass grafting (CABG), although ...

(1)
Dec 2024 39719216
Early detection of high blood pressure from natural speech sounds with graph diffusion network.

This study presents an innovative approach to cuffless blood pressure prediction by integrating spee...

Dec 2024 39718053
Application of machine learning methods for predicting esophageal variceal bleeding in patients with cirrhosis.

OBJECTIVE: To develop and compare machine learning models based on CT morphology features, serum bio...

Dec 2024 39708084
Programmable ultrasound-mediated swarms manipulation of bacteria-red blood cell microrobots for tumor-specific thrombosis and robust photothermal therapy.

Despite the excellent advantages of biomicrorobots, such as autonomous navigation and targeting actu...

Dec 2024 39709244
Pinning down the accuracy of physics-informed neural networks under laminar and turbulent-like aortic blood flow conditions.

BACKGROUND: Physics-informed neural networks (PINNs) are increasingly being used to model cardiovasc...

(2)
Dec 2024 39708495
Very low doses of rituximab in autoimmune hemolytic anemia-an open-label, phase II pilot trial.

INTRODUCTION: Although rituximab is approved for several autoimmune diseases, no formal dose finding...

Dec 2024 39760040
An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery.

AIM: The study aimed to develop a predictive model with machine learning (ML) algorithm, to predict ...

Dec 2024 39702008
Deep learning detected histological differences between invasive and non-invasive areas of early esophageal cancer.

The depth of invasion plays a critical role in predicting the prognosis of early esophageal cancer, ...

Dec 2024 39692707
Actuation-Mediated Compression of a Mechanoresponsive Hydrogel by Soft Robotics to Control Release of Therapeutic Proteins.

Therapeutic proteins, the fastest growing class of pharmaceuticals, are subject to rapid proteolytic...

(1)
Dec 2024 39692747
A potential predictive model based on machine learning and CPD parameters in elderly patients with aplastic anemia and myelodysplastic neoplasms.

BACKGROUND: Aplastic anemia (AA) and myelodysplastic neoplasms (MDS) have similar peripheral blood m...

(1)
Dec 2024 39695587
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection.

BACKGROUND: Blood transfusion (BT) is a critical aspect of medical care for surgical patients in the...

(2)
Dec 2024 39695617
Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context.

BACKGROUND: Anemia during pregnancy is a significant public health concern, particularly in resource...

Dec 2024 39696213
Effects of Cell-Free Fat Extract and Platelet-Rich Fibrin on Scar Maturation in an Experimental Rabbit Ear Wound Model.

BACKGROUND: Multiple methods have been used to treat hypertrophic scarring; however, an optimal trea...

Dec 2024 39712941
Spontaneous Hepatic Rupture Complicating Preeclampsia and HELLP Syndrome: A Case Report.

Spontaneous hepatic rupture is a rare complication that occurs in pregnant mothers with HELLP syndr...

Dec 2024 39720327
Are we ready to integrate advanced artificial intelligence models in clinical laboratory?

The application of advanced artificial intelligence (AI) models and algorithms in clinical laborator...

Dec 2024 39703759
Super-resolution left ventricular flow and pressure mapping by Navier-Stokes-informed neural networks.

Intraventricular vector flow mapping (VFM) is an increasingly adopted echocardiographic technique th...

Dec 2024 39672010
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