Multicancer detection tests had sensitivity from 0.095 to 0.998, specificity from 0.657 to 1.0, and area under the receiver ...

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...

A ratio-based tryptase formula for diagnosing pediatric anaphylaxis in the ED demonstrated higher diagnostic performance than ...

Machine learning model accurately diagnoses interstitial pneumonia, matching pulmonologist expertise and predicting mortality ...

Multiple versions of ChatGPT demonstrated efficacy in identifying eligible patients for clinical trial recruitment, showing ...

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer ...

MASLD is highly prevalent among individuals with chronic hepatitis B and increases the risk for liver fibrosis.

Researchers have identified multiple causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD), ...

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

A meta-analysis of pediatric patients shows the potential promise of this noninvasive biomarker for early diagnosis, risk stratification, and management of nephrotic syndrome.

Early on-treatment liver stiffness measurements predict reduced risk for liver-related events in patients with CHB receiving antiviral therapy.

New research shows that incorporating dialysis status, eGFR, and proteinuria after induction enhances prediction of kidney ...