Hematology

AI-Driven Integration of Deep Learning with Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction: Progress and Perspectives.

This Perspective article explores the transformative role of artificial intelligence (AI) in predict...

Machine learning for predicting crohn's disease from routine blood tests years before diagnosis: results from the epi-IIRN cohort.

OBJECTIVES: In this nationwide study, we used the epi-Israeli Inflammatory Bowel Disease (IBD) Resea...

High-efficiency spatially guided learning network for lymphoblastic leukemia detection in bone marrow microscopy images.

Leukemia is a hematologic tumor that proliferates in bone marrow and seriously affects the survival ...

Age-related variation in hemoglobin glycation index and stroke mortality: mediation and machine learning in a cohort study.

To investigate the associations between both age and the hemoglobin glycation index (HGI) and the 30...

Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography.

Pain assessment in clinical practice largely relies on patient-reported subjectivity. Although previ...

Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding.

Acute gastrointestinal bleeding (AGIB) is a potentially lethal complication in cirrhosis. In this pr...

Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation.

Atrial fibrillation (AF) increases the risk of adverse cardiovascular events, yet the underlying bio...

AI-Assisted Detection of Intracellular Bacteria in Peripheral Blood Granulocytes: A Case Report.

Identifying intracellular bacteria in peripheral blood smears is of utmost importance for diagnosing...

Machine learning models based on routine blood and biochemical test data for diagnosis of neurological diseases.

Globally, nervous system diseases are the leading cause of disability-adjusted life-years and the se...

Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests.

Existing prostate cancer monitoring methods, reliant on prostate-specific antigen (PSA) measurements...

From Laptop to Laboratory: Development and Implementation of a Machine Learning Model for Detecting Iron-Deficiency Anemia.

Inexpensive method for the quantitative estimation of hepatitis C virus RNA in blood plasma for low-resource settings using ML-based image intensity analysis of RT-LAMP products.

Hepatitis C virus (HCV) infection is a severe public health problem affecting nearly 3% of the world...

Prediction of early postoperative complications and transfusion risk after lumbar spinal stenosis surgery in geriatric patients: machine learning approach based on comprehensive geriatric assessment.

BACKGROUND: Lumbar spinal stenosis is one of the most common surgery-requiring conditions of the spi...

A clinical model for highly accurate prediction of blood glucose depression after continuous intravenous insulin therapy in hyperglycemic emergencies, a multicenter retrospective cohort study.

BACKGROUND: Hyperglycemic emergencies are broadly classified into diabetic ketoacidosis and hyperosm...

Recent advances in deep learning for lymphoma segmentation: Clinical applications and challenges.

Lymphoma is a prevalent malignant tumor within the hematological system, posing significant challeng...

A machine learning optimized Dielectric Ultra-focused Oscillatory (DUO) electrode for low temperature electrosurgery.

The widespread adoption of radio frequency (RF) energy has made electrosurgery a cornerstone of mode...

A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.

Various diseases, such as colon cancer, gastric cancer, celiac, and bleeding, pose a significant ris...

Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study.

BACKGROUND: High intraoperative blood pressure variability (HIBPV) is significantly associated with ...

Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning.

BACKGROUND: In the Intensive Care Unit (ICU), data stored in patient data management systems (PDMS) ...

CKRT coagulation risk prediction and nursing feedback model based on intelligent algorithms.

Towards Clinically Actionable Machine Learning and Artificial Intelligence Algorithms in Acute Leukemia: A Systematic Narrative Review.

INTRODUCTION: Acute myeloid leukemia (AML) is a heterogenous hematologic malignancy that maintains h...