Hematology

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

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Blood-based biomarkers of chronic inflammation.

INTRODUCTION: Diseases related to chronic persisting inflammation are amongst the largest sources of...

A deep learning method for continuous noninvasive blood pressure monitoring using photoplethysmography.

. The aim of this study is to investigate continuous blood pressure waveform estimation from a pleth...

Artificial intelligence in intestinal polyp and colorectal cancer prediction.

Artificial intelligence (AI) algorithms and their application to disease detection and decision supp...

Neurosurgical skills analysis by machine learning models: systematic review.

Machine learning (ML) models are being actively used in modern medicine, including neurosurgery. Thi...

Perioperative comparison between robot-assisted and laparoscopic radical cystectomy: An update meta-analysis.

We conducted this study to explore the efficacy and safety of laparoscopic radical cystectomy (LRC) ...

Evaluating platelet concentrates by platelet indices, thromboelastography, and flow cytometry.

INTRODUCTION: Platelet transfusion has been therapeutically used in patients with thrombocytopenia a...

Confidence-based laboratory test reduction recommendation algorithm.

BACKGROUND: We propose a new deep learning model to identify unnecessary hemoglobin (Hgb) tests for ...

Robotic instruments outside the surgical field can cause problems: A case of critical bleeding during robotic distal pancreatectomy.

Robotic surgery has technical advantages including high optical magnification and articulation of fo...

CG02N Analyzer Accurately Measures Fibrinogen Level in Whole Blood in the Presence of Low- or High-Dose Heparin.

Rapid fibrinogen (Fbg) evaluation is important in patients with massive bleeding during severe traum...

Functional and oncological outcomes of robot-assisted radical prostatectomy in obese men: a matched-pair analysis.

Robot-assisted radical prostatectomy (RARP) in men with body mass index (BMI) ≥ 35 kg/m is considere...

Survey and Evaluation of Hypertension Machine Learning Research.

Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to co...

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...

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