Hematology

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

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Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.

BACKGROUND AND AIM: Although small-bowel angioectasia is reported as the most common cause of bleedi...

Oct 2019 31392767
Clinical Study on Minimally Invasive Liquefaction and Drainage of Hypertensive Putaminal Hemorrhage through Frontal Approach.

 Hypertensive intracerebral hemorrhage is one of the most common cerebrovascular diseases with high...

Sep 2019 33777641
Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells.

Bone marrow aspirate (BMA) differential cell counts (DCCs) are critical for the classification of he...

Sep 2019 31570774
Hemophilia C: A Case Report With Updates on Diagnosis and Management of a Rare Bleeding Disorder.

Hemophilia C or factor XI deficiency is a rare clotting disorder with prevalence of only 1 per 1 mil...

Sep 2019 32300461
Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management.

Thrombosis development in either arterial or venous system remains a major cause of death and disabi...

Sep 2019 31563130
Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning.

The blood flow through the major vessels holds great diagnostic potential for the identification of ...

Sep 2019 31557196
Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with upper gastro...

Sep 2019 31562847
Multi-Objective Optimization for Personalized Prediction of Venous Thromboembolism in Ovarian Cancer Patients.

Thrombotic events are one of the leading causes of mortality and morbidity related to cancer, with o...

Sep 2019 31562113
A novel automated image analysis system using deep convolutional neural networks can assist to differentiate MDS and AA.

Detection of dysmorphic cells in peripheral blood (PB) smears is essential in diagnostic screening o...

Sep 2019 31527646
Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers.

In type 1 diabetes management, maintaining nocturnal blood glucose within target range can be challe...

Sep 2019 31536025
Continuous Glucose Monitoring and Glycemic Control in Patients With Type 2 Diabetes Mellitus and CKD.

RATIONALE & OBJECTIVE: The accuracy of glycated hemoglobin (HbA) level for assessment of glycemic co...

Sep 2019 32734208
Machine learning predicts putative hematopoietic stem cells within large single-cell transcriptomics data sets.

Hematopoietic stem cells (HSCs) are an essential source and reservoir for normal hematopoiesis, and ...

Sep 2019 31513832
Abdominal artery segmentation method from CT volumes using fully convolutional neural network.

PURPOSE : The purpose of this paper is to present a fully automated abdominal artery segmentation me...

Sep 2019 31493112
Machine learning based prediction of perioperative blood loss in orthognathic surgery.

The aim of this study was to evaluate, if and with what accuracy perioperative blood loss can be cal...

Aug 2019 31711996
Reducing demand uncertainty in the platelet supply chain through artificial neural networks and ARIMA models.

One of the significant issues in global healthcare systems is improving the supply chain performance...

Aug 2019 31536834
Prediction model development of late-onset preeclampsia using machine learning-based methods.

Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the ...

Aug 2019 31442238
A Preliminary Study on Coagulation Parameters and Sterility of Thawed Refrozen Fresh Frozen Plasma.

Thawed fresh frozen plasma (FFP) if not used within 6 h, may have to be discarded due to the risk of...

Aug 2019 32174694
Deep Learning Diffuse Optical Tomography.

Diffuse optical tomography (DOT) has been investigated as an alternative imaging modality for breast...

Aug 2019 31442973
Recognition of peripheral blood cell images using convolutional neural networks.

BACKGROUND AND OBJECTIVES: Morphological analysis is the starting point for the diagnostic approach ...

Aug 2019 31425939
Convolutional Neural Networks for Spectroscopic Analysis in Retinal Oximetry.

Retinal oximetry is a non-invasive technique to investigate the hemodynamics, vasculature and health...

Aug 2019 31388136
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