Hematology

Interpretable machine learning-enabled risk stratification for pulmonary arterial hypertension associated with unrepaired congenital heart disease: results from a national prospective registry.

BACKGROUND: Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH as...

Immature Platelet Fraction as an Independent Marker of Adverse Outcomes in an Intensive Cardiovascular Care Unit.

Platelet activation and thrombopoiesis are central to acute cardiovascular disease pathophysiology, ...

Beyond the platelet count: A systematic review of artificial intelligence in immune thrombocytopenia.

Immune thrombocytopenia (ITP) is an acquired autoimmune bleeding disorder with variable disease cour...

Minimally invasive liver transplantation: technical evolution, evidence maturity, and translational boundaries.

Liver transplantation is an established treatment for end-stage liver disease and selected hepatic m...

Risk Model for Adult Congenital Cardiac Reoperations: Analysis of the Society of Thoracic Surgeons Adult Cardiac Surgery Database (STS-ACSD).

BACKGROUND: Accurate risk prediction is essential for informed clinician-patient decision making in ...

NNMT-associated metabolic-thromboinflammatory-immune co-activation in heterogeneous CTC clusters: a hypothesis-generating computational framework".

BACKGROUND: Heterogeneous circulating tumor cell (CTC) clusters interact with platelets, neutrophils...

Early Detection of Clinical Deterioration in ICU Patients With Respiratory Failure Receiving Vasoactive Support: A Machine Learning Approach to Identifying High-Risk Individuals.

BACKGROUND AND AIMS: Acute respiratory failure requiring intensive care is frequently accompanied by...

A clinical scoring system for the early identification of superinfections in patients with severe fever with thrombocytopenia syndrome: An ambispective multicentre cohort study.

BACKGROUND: Superinfection is a major contributor to mortality in patients with severe fever with th...

Advancing preoperative planning technology in total joint arthroplasty with a real-time machine learning calculator: 1-year mortality risk in a value-based care era.

BACKGROUND: Technological innovation in total joint arthroplasty (TJA) has largely focused on intrao...

Multimodal discovery of a pathogenic B cell-dependent T cell state in multiple sclerosis.

B cell depleting therapies in multiple sclerosis (MS) have transformed disease management, yet the i...

Altered cortical oxygenation dynamics, impaired cortical recruitment, and network dysconnectivity across the transdiagnostic anxiety spectrum: a systems biology multi-channel fNIRS study.

BACKGROUND: Anxiety-spectrum disorders (ANSD) are highly prevalent, yet the underlying cortical neur...

Machine Learning Model for Predicting Risk Factor Analysis and a Mortality Prediction Model of Acute Cholangitis Complicated with Sepsis.

This study examined factors associated with sepsis in acute cholangitis and developed outcome-specif...

Low birth weight is associated with accelerated brain aging in mid- and old-age: A large population-based cohort study in the UK Biobank.

BACKGROUND: Low birth weight has been linked to cognitive decline and neurological disorders in adul...

A machine learning-derived sarcopenia index is associated with survival and nonrelapse mortality in DLBCL.

Body composition analysis (BCA) provides an objective assessment of metabolic states, but its progno...

Machine Learning Model for Predicting Hepatocellular Carcinoma Development in Patients With Hepatitis B Virus-Related Cirrhosis Receiving Antiviral Therapy.

Few prediction models have been specifically designed to evaluate the risk of hepatocellular carcino...

Interpretable Machine Learning for In-Hospital Mortality Prediction in Patients With Diabetes and ARDS: Development and External Validation.

BACKGROUND: Patients with diabetes mellitus complicated by acute respiratory distress syndrome (ARDS...

AINAR Trial: A randomized controlled trial to assess the usefulness of Artificial Intelligence based game to conquer needle fear in blood donors.

BACKGROUND: Needle fear and anxiety are important contributors to vasovagal reactions (VVR) and poor...

Post AF Ablation Anticoagulation: Real World Practice and Predictors of Therapy.

BACKGROUND: Oral anticoagulation (OAC) is recommended for ≥3 months post catheter ablation (CA) for ...

Comment on "Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency".

Cancer risk and mortality assessment in the overweight population: evaluation of single and integrated models based on inflammatory markers.

BACKGROUND: Chronic inflammation is a significant driver of carcinogenesis, particularly in the cont...

Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes.

INTRODUCTION AND OBJECTIVES: Steatotic liver disease (SLD) is a leading cause of liver disease world...