Hematology

Machine learning-driven automated evaluation of surgical skills during laparoscopic distal gastrectomy based on blood pixel analysis.

BACKGROUND: In laparoscopic distal gastrectomy (LDG), intraoperative bleeding directly reflects surgical proficiency, including tissue handling and hemostasis. Conventional assessments of surgical skills, such as global operative assessment of laparoscopic skills, are subjective and time-consuming. Bleeding events can serve as an objective indicator for automated skill evaluation in this procedure...

Long-term outcomes with emicizumab prophylaxis for haemophilia A in China: A multicentre, large-cohort retrospective study.

Emicizumab is an established prophylactic therapy for haemophilia A (HA). However, real-world multicentre evidence on long-term outcomes, particularly in a resource-constrained setting, remains limited. We aimed to evaluate real-world outcomes in patients with HA receiving emicizumab prophylaxis across multiple centres with extended follow-up. We conducted a multicentre retrospective study of pati...

Development of a prediction model for infectious mononucleosis using machine learning algorithms based on blood cell analysis parameters.

BACKGROUND: Infectious mononucleosis (IM) presents with nonspecific clinical manifestations, leading to frequent misdiagnosis or delayed diagnosis, an...

Interpretable machine learning models for predicting perioperative myocardial injury in non-cardiac surgery.

AIMS: Perioperative myocardial injury (PMI) is a frequent and often asymptomatic complication after non-cardiac surgery and is associated with increas...

Early intensive antihypertensive treatment in high-risk population of intracerebral haemorrhage expansion identified by artificial intelligence (ARCHES): study protocol for a multicentre randomised controlled trial.

BACKGROUNDS: Haematoma expansion (HE) is a significant factor in poor outcomes following intracerebral haemorrhage (ICH). Studies have suggested that ...

Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets.

Acute myeloid leukemia (AML) is a genetically and phenotypically heterogeneous hematological malignancy. Here, to better define this clinically taxing...

Identification of candidate sex hormone-associated genes and immune infiltration characteristics in osteoarthritis based on bioinformatics analysis and machine learning.

BACKGROUND: Sex hormones play critical roles in the pathogenesis and progression of osteoarthritis (OA), yet the hormone-related molecular networks re...

Initial assessment of suspected cervical spine fracture in the emergency department: A contemporary narrative review.

Cervical spine fractures represent a potentially catastrophic consequence of blunt trauma. Early identification of unstable injuries is critical to pr...

Development and validation of a LightGBM-based model with risk stratification for predicting early recurrence after catheter ablation for atrial fibrillation.

BACKGROUND: Atrial fibrillation (AF) is the most prevalent sustained arrhythmia, yet tools for predicting early recurrence (ER) after catheter ablatio...

Applying machine-learning models to successful vaginal birth after two cesareans.

BACKGROUND: Vaginal birth after two cesarean deliveries (VBAC2) is increasingly recognized as a reasonable and, in selected cases, preferable option. ...

Deep Learning Based Framework for Detection and Classification of Leukemia Using Microscopic Images.

Excessive proliferation of white blood cells (WBCs) in the bone marrow leads to a type of blood cancer known as leukemia. This blood cancer impairs th...

Multiome-based identification of molecular markers for prospective identification of platelet-biased HSCs.

Platelet-biased hematopoietic stem cells (PLT-HSCs) play key roles in normal physiology, aging, and blood cancer. However, currently, no markers allow...

Sub-voxel Susceptibility Mapping and Machine Learning to Detect Brain Iron Deposition and Its Cognitive Relevance in Beta-Thalassemia.

OBJECTIVE: Brain iron dysregulation is increasingly recognized as a critical contributor to neurocognitive impairment in patients with beta-thalassemi...

Transforming hemodialysis care: a tripartite collaboration model among medical staff, AI agents, and robots.

Hemodialysis demand is rising as populations age and the chronic kidney disease burden increases, yet dialysis units face persistent workforce constra...

Real-World Validation of PinPoint Blood Tests in the NHS: Multivariable Machine Learning to Predict Cancer Risk in Primary Care Urgent Referrals.

OBJECTIVE: To validate the United Kingdom Conformity Assessed-marked PinPoint blood tests, which use machine learning models and routinely available b...

Interpretable machine learning for endometriosis classification: a rule-based approach.

BACKGROUND: Endometriosis is a chronic gynecological disease characterized by the growth of endometrial-like tissue outside the uterus, leading to pel...

Machine learning-based prediction of early invasive mechanical ventilation in ICU patients with pneumonia: Development and external validation.

BACKGROUND: Pneumonia is a common critical illness in the intensive care unit (ICU), and a subset of patients rapidly progresses to respiratory failur...

Peripheral and central immune features in insomnia: Integrative bulk and single-cell transcriptomic analyses reveal core hub genes and candidate compounds.

Insomnia is closely associated with immune dysregulation, yet the overall pattern of peripheral-central immune disequilibrium and its underlying molec...

Combinations of single gene predictors with AI-driven polygenic precision therapies in cardiovascular diseases.

Pharmacogenomics (PGx) is transforming how we treat cardiovascular disease (CVD) by enabling us to select and dose drugs based on our genetic profiles...

Identification of estrogen-related biomarkers in metabolic dysfunction-associated steatotic liver disease (MASLD) through machine learning and single-cell analysis.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is a preval...