Hematology

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

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Showing 1450-1470 of 6,881 articles
Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, ...

Intelligent Monitoring of Care Status for COPD Patients Based on Deep Learning.

To discuss the application method and effect of COPD patients in deep learning in intelligent monito...

Deep Learning-Based Detection and Diagnosis of Subarachnoid Hemorrhage.

Subarachnoid hemorrhage (SAH) is one of the critical and severe neurological diseases with high morb...

Predicting completion of clinical trials in pregnant women: Cox proportional hazard and neural network models.

This study aimed to develop a model for predicting the completion of clinical trials involving pregn...

Evaluation of the Postoperative Nursing Effect of Thoracic Surgery Assisted by Artificial Intelligence Robot.

In order to evaluate the postoperative nursing effect of artificial intelligence robot-assisted thor...

Perplexing issues for convalescent immune plasma therapy in COVID-19.

Convalescent immune plasma (CIP) therapy in coronavirus disease 2019 (COVID-19) is presently a trend...

Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea.

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease in C...

A deep learning method for counting white blood cells in bone marrow images.

BACKGROUND: Differentiating and counting various types of white blood cells (WBC) in bone marrow sme...

Decision support or autonomous artificial intelligence? The case of wrong blood in tube errors.

OBJECTIVES: Artificial intelligence (AI) models are increasingly being developed for clinical chemis...

Automated annotations of epithelial cells and stroma in hematoxylin-eosin-stained whole-slide images using cytokeratin re-staining.

The diagnosis of solid tumors of epithelial origin (carcinomas) represents a major part of the workl...

Enhanced precision of real-time control photothermal therapy using cost-effective infrared sensor array and artificial neural network.

Photothermal therapy (PTT) requires tight thermal dose control to achieve tumor ablation with minima...

Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry.

Platelets are functionally versatile blood cells involved in thrombosis, hemostasis, atherosclerosis...

Applying deep learning to quantify empty lacunae in histologic sections of osteonecrosis of the femoral head.

Osteonecrosis of the femoral head (ONFH) is a disease in which inadequate blood supply to the subcho...

A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19.

The COVID-19 pandemic is impressively challenging the healthcare system. Several prognostic models h...

A Novel Prediction Model of Acute Kidney Injury Based on Combined Blood Variables in STEMI.

BACKGROUND: Development of acute kidney injury (AKI) is associated with poor prognosis in patients w...

A Generalized Approach for Automatic 3-D Geometry Assessment of Blood Vessels in Transverse Ultrasound Images Using Convolutional Neural Networks.

Accurate 3-D geometries of arteries and veins are important clinical data for diagnosis of arterial ...

A weakly supervised deep learning approach for label-free imaging flow-cytometry-based blood diagnostics.

The application of machine learning approaches to imaging flow cytometry (IFC) data has the potentia...

Diagnostic AI Modeling and Pseudo Time Series Profiling of AD and PD Based on Individualized Serum Proteome Data.

Parkinson's disease (PD), Alzheimer's disease (AD) are common neurodegenerative disease, while mild...

Predictive value of red blood cell distribution width in septic shock patients with thrombocytopenia: A retrospective study using machine learning.

BACKGROUND: Sepsis-associated thrombocytopenia (SAT) is common in critical patients and results in t...

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