Hematology

Space-time-regulated imaging analyzer for smart coagulation diagnosis.

The development of intelligent blood coagulation diagnoses is awaited to meet the current need for l...

Evaluation of two semi-supervised learning methods and their combination for automatic classification of bone marrow cells.

Differential bone marrow (BM) cell counting is an important test for the diagnosis of various hemato...

Identification of blood species based on surface-enhanced Raman scattering spectroscopy and convolutional neural network.

The identification of blood species is of great significance in many aspects such as forensic scienc...

Transfusion-associated hyperkalemia in pediatric population: Analyses for risk factors and recommendations.

BACKGROUND: Transfusion-associated hyperkalemia (TAH) is a potentially life-threatening complication...

Advances in Cuffless Continuous Blood Pressure Monitoring Technology Based on PPG Signals.

OBJECTIVE: To review the progress of research on photoplethysmography- (PPG-) based cuffless continu...

Understanding the risk factors for adverse events during exchange transfusion in neonatal hyperbilirubinemia using explainable artificial intelligence.

OBJECTIVE: To understand the risk factors associated with adverse events during exchange transfusion...

White blood cell detection using saliency detection and CenterNet: A two-stage approach.

White blood cell (WBC) detection plays a vital role in peripheral blood smear analysis. However, cel...

Hint-Based Image Colorization Based on Hierarchical Vision Transformer.

Hint-based image colorization is an image-to-image translation task that aims at creating a full-col...

Estimation of Cerebral Blood Flow and Arterial Transit Time From Multi-Delay Arterial Spin Labeling MRI Using a Simulation-Based Supervised Deep Neural Network.

BACKGROUND: An inherently poor signal-to-noise ratio (SNR) causes inaccuracy and less precision in c...

Robotic radical distal gastrectomy for gastric cancer using the soft coagulation scissors technique.

We have developed a novel technique for safe and precise lymph-node dissection during robotic gastre...

Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes.

The adoption of electronic health records in hospitals has ensured the availability of large dataset...

Application of supervised machine learning algorithms to predict the risk of hidden blood loss during the perioperative period in thoracolumbar burst fracture patients complicated with neurological compromise.

BACKGROUND: Machine learning (ML) is a type of artificial intelligence (AI) and has been utilized in...

Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm.

BACKGROUND: More than 115,000 maternal deaths and 591,000 prenatal deaths occurred in the world per ...

Robot-Assisted Versus Laparoscopic Approach for Splenectomy in Children: Systematic Review and Meta-Analysis.

To compare the outcomes of pediatric splenectomies for hematologic diseases performed by robot-assi...

Effect and safety of diluted vasopressin injection on bleeding during robot-assisted laparoscopic myomectomy: a protocol for a randomised controlled pilot trial.

INTRODUCTION: Even though the injection of diluted vasopressin into the uterus is expected to reduce...

Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm.

In this study, we aimed to develop an artificial intelligence clinical decision support solution to ...

Automatic whole blood cell analysis from blood smear using label-free multi-modal imaging with deep neural networks.

Whole blood cell analysis is widely used in medical applications since its results are indicators fo...

How do I/we forecast tomorrow's transfusion? A focus on recipients' profiles.

Red blood cell (RBC) transfusion is a life-saving medical intervention and has an essential role in ...

Multimodal data for systolic and diastolic blood pressure prediction: The hypertension conscious artificial intelligence.

Artificial intelligence-based classification of peripheral blood nucleated cells using label-free imaging flow cytometry.

Label-free image identification of circulating rare cells, such as circulating tumor cells within pe...

RCMNet: A deep learning model assists CAR-T therapy for leukemia.

Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods inc...