Hematology

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

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Model order reduction of hemodynamics by space-time reduced basis and reduced fluid-structure interaction

In this work, we apply the space-time Galerkin reduced basis (ST-GRB) method to a reduced fluid-st...

Probability Score for the Diagnosis of Periprosthetic Joint Infection: Development and Validation of a Practical Multi-analyte Machine Learning Model.

Background and objective The diagnosis of periprosthetic joint infection (PJI) relies on established...

May 2025 40371186
Unsupervised Deep Learning for Blood-Brain Barrier Leakage Detection in Diffuse Glioma Using Dynamic Contrast-enhanced MRI.

Purpose To develop an unsupervised deep learning framework for generalizable blood-brain barrier lea...

May 2025 40172325
An APRI+ALBI-Based Multivariable Model as a Preoperative Predictor for Posthepatectomy Liver Failure.

OBJECTIVE AND BACKGROUND: Clinically significant posthepatectomy liver failure (PHLF B+C) remains th...

May 2025 37860868
Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers

Insulin resistance, a precursor to type 2 diabetes, is characterized by impaired insulin action in...

eNCApsulate: NCA for Precision Diagnosis on Capsule Endoscopes

Wireless Capsule Endoscopy is a non-invasive imaging method for the entire gastrointestinal tract,...

A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports

Despite the growing adoption of electronic health records, many processes still rely on paper docu...

A Transformer-based Multimodal Fusion Model for Efficient Crowd Counting Using Visual and Wireless Signals

Current crowd-counting models often rely on single-modal inputs, such as visual images or wireless...

[Serum proteomics and machine learning unveil new diagnostic biomarkers for tuberculosis in adolescents and young adults].

Adolescents and young adults (AYAs) are one of the major populations susceptible to tuberculosis. Ho...

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Apr 2025 40328710
Masked strategies for images with small objects

The hematology analytics used for detection and classification of small blood components is a sign...

Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery

Intraoperative adverse events (IAEs), such as bleeding or thermal injury, can lead to severe posto...

Assessing Surrogate Heterogeneity in Real World Data Using Meta-Learners

Surrogate markers are most commonly studied within the context of randomized clinical trials. Howe...

Synthetic Data for Blood Vessel Network Extraction

Blood vessel networks in the brain play a crucial role in stroke research, where understanding the...

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Cancer-Myth: Evaluating AI Chatbot on Patient Questions with False Presuppositions

Cancer patients are increasingly turning to large language models (LLMs) as a new form of internet...

Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data

Staining is essential in cell imaging and medical diagnostics but poses significant challenges, in...

Extracting Regions of Interest and Selective Feature Application in Leukaemia Image Classification.

Evaluating the blood smear test images remains the main route of detecting the type of leukaemia, ac...

(2)
Apr 2025 40200455
Improving Chronic Kidney Disease Detection Efficiency: Fine Tuned CatBoost and Nature-Inspired Algorithms with Explainable AI

Chronic Kidney Disease (CKD) is a major global health issue which is affecting million people arou...

Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset

Leukemia is 10th most frequently diagnosed cancer and one of the leading causes of cancer related ...

Multi-Task Learning for Extracting Menstrual Characteristics from Clinical Notes

Menstrual health is a critical yet often overlooked aspect of women's healthcare. Despite its clin...

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