Hematology

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

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A Near-Infrared Imaging System for Robotic Venous Blood Collection.

Venous blood collection is a widely used medical diagnostic technique, and with rapid advancements i...

(1)
Nov 2024 39599189
Artificial intelligence in cytopathological applications for cancer: a review of accuracy and analytic validity.

BACKGROUND: Cytopathological examination serves as a tool for diagnosing solid tumors and hematologi...

Nov 2024 39558397
AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review.

BACKGROUND: Current blood glucose monitoring (BGM) methods are often invasive and require repetitive...

(2)
Nov 2024 39561353
Computer tomography-based radiomics combined with machine learning for predicting the time since onset of epidural hematoma.

Estimation of the age of epidural hematoma (EDH) is a challenge in clinical forensic medicine, and t...

Nov 2024 39556127
Diagnosis and typing of leukemia using a single peripheral blood cell through deep learning.

Leukemia is highly heterogeneous, meaning that different types of leukemia require different treatme...

Nov 2024 39555724
Magnetic soft microrobots for erectile dysfunction therapy.

Erectile dysfunction (ED) is a major threat to male fertility and quality of life, and mesenchymal s...

Nov 2024 39556757
Deep learning-based automatic bleeding recognition during liver resection in laparoscopic hepatectomy.

BACKGROUND: Intraoperative hemorrhage during laparoscopic hepatectomy (LH) is a risk factor for nega...

Nov 2024 39557646
MIMIC-BP: A curated dataset for blood pressure estimation.

Blood pressure (BP) is one of the most prominent indicators of potential cardiovascular disorders. T...

(2)
Nov 2024 39548096
Artificial intelligence modeling of biomarker-based physiological age: Impact on phase 1 drug-metabolizing enzyme phenotypes.

Age and aging are important predictors of health status, disease progression, drug kinetics, and eff...

(4)
Nov 2024 39540677
Ultrasensitive Detection of Blood-Based Alzheimer's Disease Biomarkers: A Comprehensive SERS-Immunoassay Platform Enhanced by Machine Learning.

Accurate and early disease detection is crucial for improving patient care, but traditional diagnost...

(3)
Nov 2024 39537190
Identification of TXN and F5 as novel diagnostic gene biomarkers of the severe asthma based on bioinformatics and machine learning analysis.

Asthma poses a major threat to human health. The aim of this study was to identify genetic markers o...

(1)
Nov 2024 39531229
SNPs and blood inflammatory marker featured machine learning for predicting the efficacy of fluorouracil-based chemotherapy in colorectal cancer.

Fluorouracil-based chemotherapy responses in colorectal cancer (CRC) patients vary widely, highlight...

Nov 2024 39532939
Artificial intelligence driven clustering of blood pressure profiles reveals frailty in orthostatic hypertension.

Gravity, an invisible but constant force , challenges the regulation of blood pressure when transiti...

Nov 2024 39526963
Deep learning segmentation-based bone removal from computed tomography of the brain improves subdural hematoma detection.

PURPOSE: Timely identification of intracranial blood products is clinically impactful, however the d...

Nov 2024 39521273
MultiThal-classifier, a machine learning-based multi-class model for thalassemia diagnosis and classification.

BACKGROUND: The differential diagnosis between iron deficiency anemia (IDA) and thalassemia trait (T...

(1)
Nov 2024 39521397
A machine-learning-based algorithm for bone marrow cell differential counting.

BACKGROUND: Differential counting (DC) of different cell types in bone marrow (BM) aspiration smears...

Nov 2024 39549389
Deep Learning-Assisted Label-Free Parallel Cell Sorting with Digital Microfluidics.

Sorting specific cells from heterogeneous samples is important for research and clinical application...

(4)
Nov 2024 39497614
Optimizing anemia management using artificial intelligence for patients undergoing hemodialysis.

Patients with end-stage kidney disease (ESKD) frequently experience anemia, and maintaining hemoglob...

Nov 2024 39500941
Integrated machine learning to predict the prognosis of lung adenocarcinoma patients based on SARS-COV-2 and lung adenocarcinoma crosstalk genes.

Viruses are widely recognized to be intricately associated with both solid and hematological maligna...

(2)
Nov 2024 39489517
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