Hematology

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

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Machine learning based dynamic consensus model for predicting blood-brain barrier permeability.

The blood-brain barrier (BBB) is an important defence mechanism that restricts disease-causing patho...

Detecting Pre-Analytically Delayed Blood Samples for Laboratory Diagnostics Using Raman Spectroscopy.

In this proof-of-principle study, we systematically studied the potential of Raman spectroscopy for ...

Con: Artificial Intelligence-Derived Algorithms to Guide Perioperative Blood Management Decision Making.

Artificial intelligence has the potential to improve the care that is given to patients; however, th...

3D Visualization, Skeletonization and Branching Analysis of Blood Vessels in Angiogenesis.

Angiogenesis is the process of new blood vessels growing from existing vasculature. Visualizing them...

Artificial Intelligence in Point-of-Care Testing.

With the projected increase in the global population, current healthcare delivery models will face s...

[Laboratory testing for anemia in primary care: reflex testing, reflecting and algorithms?].

This commentary discusses the prevalence and causes of anemia in primary care in the Netherlands and...

TUnet-LBF: Retinal fundus image fine segmentation model based on transformer Unet network and LBF.

Segmentation of retinal fundus images is a crucial part of medical diagnosis. Automatic extraction o...

Identification of thrombopoiesis inducer based on a hybrid deep neural network model.

Thrombocytopenia is a common haematological problem worldwide. Currently, there are no relatively sa...

Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals.

Critically ill patients often lack cognitive or communicative functions, making it challenging to as...

Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry.

Image-based identification of circulating tumor cells in microfluidic cytometry condition is one of ...

Blood quality evaluation on-chip classification of cell morphology using a deep learning algorithm.

The quality of red blood cells (RBCs) in stored blood has a direct impact on the recovery of patient...

Optimizing multi-domain hematologic biomarkers and clinical features for the differential diagnosis of unipolar depression and bipolar depression.

There is a lack of objective features for the differential diagnosis of unipolar and bipolar depress...

Early Postoperative Outcomes of Retroperitoneal Partial Nephrectomy of Anterior and Posterior Renal Tumors: A 5-Year Experience in A Single Center.

Partial nephrectomy (PN) is one of the surgical treatment options for renal tumors. Therefore, the ...

Cell damage evaluation by intelligent imaging flow cytometry.

Essential thrombocythemia (ET) is an uncommon situation in which the body produces too many platelet...

A decision support system based on artificial intelligence and systems biology for the simulation of pancreatic cancer patient status.

Oncology treatments require continuous individual adjustment based on the measurement of multiple cl...

Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood.

BACKGROUND AND OBJECTIVE: Morphological identification of peripheral leukocytes is a complex and tim...

Higher risk of intraoperative bleeding in right-sided renal tumors compared to left-sided tumors in robot-assisted partial nephrectomy.

OBJECTIVE: To compare intraoperative blood loss in robot-assisted partial nephrectomy (RAPN) between...

Artificial Intelligence-based online platform assists blood cell morphology learning: A mixed-methods sequential explanatory designed research.

BACKGROUND: The study aimed to evaluate the effectiveness of learning blood cell morphology by learn...

Simultaneous excision of pelvic lipoma and robot-assisted radical prostatectomy.

Lipoma is a benign mesenchymal tumour that can develop in any part of the body containing adipose ti...

Deep learning-based optical approach for skin analysis of melanin and hemoglobin distribution.

SIGNIFICANCE: Melanin and hemoglobin have been measured as important diagnostic indicators of facial...

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