Hematology

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

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Demographic Information Fusion Using Attentive Pooling In CNN-GRU Model For Systolic Blood Pressure Estimation.

Fusing demographic information into deep learning models has become of interest in recent end-to-end...

[Robot-assisted Thoracic Surgery for Mediastinal Tumor].

In Japan, robot-assisted thoracic surgery (RATS) was introduced in thoracic surgery in 2001, but it ...

Artificial Neural Network-Aided Computational Approach for Mechanophenotyping of Biological Cells Using Atomic Force Microscopy.

The artificial neural network (ANN) based models have shown the potential to provide alternate data-...

An automated malaria cells detection from thin blood smear images using deep learning.

Timely and rapid diagnosis is crucial for faster and proper malaria treatment planning. Microscopic ...

Deep-learning-based 3D blood flow reconstruction in transmissive laser speckle imaging.

Transmissive laser speckle imaging (LSI) is useful for monitoring large field-of-view (FOV) blood fl...

Management of anastomotic leakage after robot-assisted minimally invasive esophagectomy with an intrathoracic anastomosis.

Anastomotic leakage is a feared complication after esophagectomy and associated with increased post-...

[Flow cytometry increases the proportion of valuable samples in cerebrospinal fluid with normal cell count in malignant blood diseases].

BACKGROUND: The alteration of cerebrospinal fluid (CSF) in hematologic neoplasms is a poor prognosti...

DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences.

Identifying the function of DNA sequences accurately is an essential and challenging task in the gen...

Robot-assisted radical cystectomy: Where we are in 2023.

Open radical cystectomy (ORC) is associated with high rates of perioperative morbidity and mortality...

Hematology and Machine Learning.

BACKGROUND: Substantial improvements in computational power and machine learning (ML) algorithm deve...

Comparison of Surgical Outcome of Bipolar Scissors with Conventional Cold Dissection Tonsillectomy.

Background The tonsillectomy is the most common Ear, Nose, and Throat (ENT) surgical procedure. Diff...

Effects of blood flow restriction on spine postural control using a robotic platform: A pilot randomized cross-over study.

BACKGROUND: Blood flow restriction (BFR) training improves muscle strength and functional outcomes, ...

Robotic DNA Extraction Utilizing Qiagen BioSprint 96 Workstation.

After an examination of evidentiary or reference samples has been performed, the next step is DNA ex...

Interpretable Estimation of Suicide Risk and Severity from Complete Blood Count Parameters with Explainable Artificial Intelligence Methods.

BACKGROUND: The peripheral inflammatory markers are important in the pathophysiology of suicidal beh...

ReRNet: A Deep Learning Network for Classifying Blood Cells.

AIMS: Blood cell classification helps detect various diseases. However, the current classification m...

[Clinical study on application of 3D Slicer software assisted domestic frameless stereotactic robot in biopsy of intracranial lesions].

To examine the application value of 3D Slicer software assisted domestic frameless stereotactic rob...

[Clinical Outcome of Robot-Assisted Distal Pancreatectomy in Our Institutional Introduction].

We evaluated the clinical outcome and assessed the safety of robot-assisted distal pancreatectomy(RA...

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