Hematology

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

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Showing 3277-3297 of 6,833 articles
Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data.

Risk assessment tools for patients with gastrointestinal bleeding may be used for determining level ...

Aug 2020 32530828
Designing an optimal inventory management model for the blood supply chain: Synthesis of reusable simulation and neural network.

Blood supply managers in the blood supply chain have always sought to create enough reserves to incr...

Jul 2020 32702888
Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy Images.

We present a new LSTM (P-LSTM: Progressive LSTM) network, aiming to predict morphology and states of...

Jul 2020 33018353
[Detection of white blood cells in microscopic leucorrhea images based on deep active learning].

The number of white blood cells in the leucorrhea microscopic image can indicate the severity of vag...

Jun 2020 32597095
Blood Lactate Concentration Prediction in Critical Care.

Blood lactate concentration is a reliable risk indicator of deterioration in critical care requiring...

Jun 2020 32570349
Enzyme-powered Janus platelet cell robots for active and targeted drug delivery.

Transforming natural cells into functional biocompatible robots capable of active movement is expect...

Jun 2020 33022613
Artificial Intelligence in Hematology: Current Challenges and Opportunities.

PURPOSE OF REVIEW: Artificial intelligence (AI), and in particular its subcategory machine learning,...

Jun 2020 32239350
Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.

Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applicati...

May 2020 33022624
Expert knowledge for the recognition of leukemic cells.

This work shows the advantage of expert knowledge for leukemic cell recognition. In the medical area...

May 2020 32400425
[Multicenter comparison of complications after robot-assisted and open simple prostatectomy].

INTRODUCTION: Robot-assisted simple prostatectomy (RASP) is a relatively new minimally invasive proc...

May 2020 32103288
Machine Learning on High-Dimensional Data to Predict Bleeding Post Percutaneous Coronary Intervention.

INTRODUCTION: The purpose of the current study is to determine the accuracy of machine learning in p...

May 2020 32357133
Retinal blood vessel segmentation based on Densely Connected U-Net.

The segmentation of blood vessels from retinal images is an important and challenging task in medica...

Apr 2020 32987518
Sustainable manufacturing of sensors onto soft systems using self-coagulating conductive Pickering emulsions.

Compliant sensors based on composite materials are necessary components for geometrically complex sy...

Feb 2020 33022603
Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT.

The volume of pelvic hematoma at CT has been shown to be the strongest independent predictor of majo...

Feb 2020 31172331
Machine Learning Models Improve the Diagnostic Yield of Peripheral Blood Flow Cytometry.

OBJECTIVES: Peripheral blood flow cytometry (PBFC) is useful for evaluating circulating hematologic ...

Jan 2020 31603184
Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis.

Traditional statistical models allow population based inferences and comparisons. Machine learning (...

Jan 2020 31535314
A Machine Learning-Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization.

Acute traumatic coagulopathy (ATC) is an extremely common but silent murderer; this condition presen...

Jan 2020 31908189
Retinopathy Analysis Based on Deep Convolution Neural Network.

At medical checkups or mass screenings, the fundus examination is effective for early detection of s...

Jan 2020 32030666
Deep Learning Techniques for Diabetic Retinopathy Detection.

Diabetes occurs due to the excess of glucose in the blood that may affect many organs of the body. E...

Jan 2020 32107999
Intelligent infusion controller with a physiological information feedback function.

BACKGROUND: In hospitals, some problems still exist, such as transfusion reaction that cannot be dea...

Jan 2020 32364142
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