Hematology

Classification of recurrence status after surgical treatment of chronic subdural hemorrhage - A machine learning approach.

BACKGROUND: Chronic subdural hematoma (cSDH) recurrence requiring reoperation occurs in 5-33% of cas...

On-Premise Detection of a Guideline-Driven Oral Anticoagulation Shift in German Doctors' Letters Using Local Large Language Models.

INTRODUCTION: A vast amount of German clinical routine data are still stored in unstructured doctors...

Machine Learning and Deep Learning in Deep Vein Thrombosis: A Narrative Review of Clinical Applications for Diagnosis, Risk Prediction, and Outcome Management.

Machine learning (ML) and deep learning (DL) are increasingly applied across the clinical spectrum o...

Clinical Performance of the Automated Gram Stain AI System Mycrium for Positive Blood Culture.

BACKGROUND: Gram staining of positive blood culture bottles provides rapid information for antimicro...

Dynamic Simulation and Digital Twins in Atrial Fibrillation: Complementary Roles and Current Limitations.

Atrial fibrillation (AF) management relies on established risk scores, with CHA2DS2-VASc supporting ...

The value of 18F-fluoride PET in bone metastases: an overview.

Bone metastases are a major cause of morbidity in patients with advanced cancer, making accurate det...

Inpatient morbidity and structural care burden in oropharyngeal carcinoma in Germany: a nationwide cross-institutional EHR analysis using an AI-enabled data network.

PURPOSE: This study aims to characterize hospitalization-level morbidity and care burden associated ...

T-cell dynamics, CD8/NK ratio and tumor survival hallmarks determine response to T-cell bispecific forimtamig in myeloma.

T-cell bispecific (TCB) therapies have demonstrated promising therapeutic efficacies for patients wi...

Infectious risks of transfusion: a 10-year look back and perspectives.

Almost 50 years following the advent -and ensuing tragedy- of transfusion-transmitted HIV, infectiou...

Early Clinical and Cerebrospinal Fluid Predictors of 1-Year Recurrence in Autoimmune GFAP Astrocytopathy.

OBJECTIVE: Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP-A) is an inflammatory cen...

Machine Learning-Based Comparative Analysis of Blood Cell-Derived Inflammatory Indices for Predicting MAFLD and Liver Fibrosis: Evidence From NHANES 2017-2020.

BACKGROUND: Metabolic dysfunction associated fatty liver disease (MAFLD) is linked to chronic low-gr...

Preoperative Magnetic Resonance Imaging-Derived Adiposity Profiling and Cardiometabolic Remodeling After Metabolic and Bariatric Surgery.

BACKGROUND: Cardiometabolic remodeling after metabolic and bariatric surgery is heterogeneous and ma...

Robust prediction of particle attachment efficiency for nanoparticle and microplastic environmental mobility assessment.

Particle attachment efficiency (α) controls whether suspended nanoparticles and microplastics remain...

A machine learning model for predicting ischemic and bleeding risk after percutaneous coronary intervention: Development and external validation.

OBJECTIVE: This study aimed to develop and externally validate a machine learning-based risk predict...

First Implementation of an All-in-One Solution With Fully Automatic Workflow for Rectal Cancer Based on an Integrated CT-linac.

PURPOSE: This study aimed to prospectively evaluate, in a single-center pilot study, the feasibility...

Machine Learning-Based Prediction of Culture-Confirmed Neonatal Sepsis in a Tertiary Neonatal Intensive Care Unit: Retrospective Cohort Study.

BACKGROUND: Neonatal sepsis remains a major cause of neonatal morbidity and mortality in low- and mi...

Response to comment on 'Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency'.

Digital and computational morphology in hematology: current platforms, clinical evidence, and future requirements.

INTRODUCTION: Morphologic examination of peripheral blood and bone marrow remains central to the dia...

Applications of Machine Learning in Noninvasive Anemia Diagnosis: A Systematic Review Based on Cross-Industry Standard Process for Data Mining.

BACKGROUND AND AIMS: Anemia is a disorder caused by insufficient red blood cell count or hemoglobin ...

Inflammation biomarkers in cancer: mechanistic drivers, diagnostic innovations, and future clinical horizons.

Chronic inflammation is a universally acknowledged characteristic of cancer, playing the role of a v...

Predicting unplanned CRRT interruptions in critically Ill burn patients using stacked ensemble machine learning framework.

Unplanned interruption of continuous renal replacement therapy (CRRT) is a frequent complication in ...