Hematology

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

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Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network.

OBJECTIVE: Deep vein thrombosis (DVT) is a disease caused by abnormal blood clots in deep veins. Acc...

(1)
Jun 2019 31281832
Non-steroid anti-inflammatory drugs reduce the efficacy of autologous blood pleurodesis.

BACKGROUND: This study aims to perform autologous blood pleurodesis in an animal model and investiga...

Jun 2019 32082882
Exploring the relationship between the speed-resolved perfusion of blood flux and HRV following different thermal stimulations using MSE and MFE analyses.

Our previous study employed the classic laser Doppler flux (LDF) to explore the complexity of local ...

Jun 2019 31167001
Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis.

BACKGROUND: The propensity of different Anopheles mosquitoes to bite humans instead of other vertebr...

May 2019 31146762
Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine.

Acute myeloid leukemia (AML) is a type of blood cancer characterized by the rapid growth of immature...

(1)
May 2019 31138902
Rapid discrimination of multiple myeloma patients by artificial neural networks coupled with mass spectrometry of peripheral blood plasma.

Multiple myeloma (MM) is a highly heterogeneous disease of malignant plasma cells. Diagnosis and mon...

(2)
May 2019 31138828
Extraction of the cardiac waveform from simultaneous multislice fMRI data using slice sorted averaging and a deep learning reconstruction filter.

Cardiac signal contamination has long confounded the analysis of blood-oxygenation-level-dependent (...

May 2019 31129302
Learning Single-Cell Distances from Cytometry Data.

Recent years have seen an increased interest in employing data analysis techniques for the automated...

(1)
May 2019 31099963
Label-Free Identification of White Blood Cells Using Machine Learning.

White blood cell (WBC) differential counting is an established clinical routine to assess patient im...

(1)
May 2019 31081599
Classifying intracranial stenosis disease severity from functional MRI data using machine learning.

Translation of many non-invasive hemodynamic MRI methods to cerebrovascular disease patients has bee...

May 2019 31068081
An Efficient Cardiac Arrhythmia Onset Detection Technique Using a Novel Feature Rank Score Algorithm.

The interpretation of various cardiovascular blood flow abnormalities can be identified using Electr...

(2)
May 2019 31056739
Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review.

Risk stratification of patients with gastrointestinal bleeding (GIB) is recommended, but current ris...

May 2019 31055722
Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters.

Irinotecan (CPT-11) is a drug used against a wide variety of tumors, which can cause severe toxicity...

(1)
May 2019 31105026
Potential of Parameters of Iron Metabolism for the Diagnosis of Anemia of Inflammation in the Critically Ill.

BACKGROUND: Anemia of inflammation (AI) is the most common cause of anemia in the critically ill, bu...

May 2019 32110195
Analysis of parameters affecting blood oxygen saturation and modeling of fuzzy logic system for inspired oxygen prediction.

BACKGROUND AND OBJECTIVE: Fraction of Inspired Oxygen is one of the arbitrary set ventilator paramet...

Apr 2019 31200910
Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy.

The etiology of cerebral palsy (CP) is complex and remains inadequately understood. Early detection ...

Apr 2019 31035542
An ontology for representing hematologic malignancies: the cancer cell ontology.

BACKGROUND: Within the cancer domain, ontologies play an important role in the integration and annot...

Apr 2019 31272372
Machine learning algorithms for the detection of spurious white blood cell differentials due to erythrocyte lysis resistance.

AIMS: Red blood cell (RBC) lysis resistance interferes with white blood cell (WBC) count and differe...

Apr 2019 30992342
Machine Learning for Diagnosis of Hematologic Diseases in Magnetic Resonance Imaging of Lumbar Spines.

We aimed to assess feasibility of a support vector machine (SVM) texture classifier to discriminate ...

Apr 2019 30988360
Duplicate portion sampling gives the most accurate iron intake estimate: Implications for iron status of female students.

Iron deficiency (ID) is one of the most common nutritional problems in the developing world, affecti...

(2)
Apr 2019 30982441
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