Excess liver fat, called hepatic steatosis, is a leading risk factor for end-stage liver disease
and cardiometabolic diseases but often remains undiagnosed in clinical practice because of …

A fundamental challenge in diagnostics is integrating multiple modalities to develop a joint
characterization of physiological state. Using the heart as a model system, we develop a …

Thirty-day readmission following total knee arthroplasty (TKA) is an important outcome
influencing the quality of patient care and health system efficiency. The aims of this study …

Background: Explainable artificial intelligence (XAI) is a technology that can enhance trust in
mental state classifications by providing explanations for the reasoning behind artificial …

Objective Can machine learning (ML) enable data‐driven discovery of how changes in
sentiment correlate with different psychoactive experiences? We investigate by training …

Body-focused repetitive behaviors (BFRBs), like face-touching or skin-picking, are hand-
driven behaviors which can damage one's appearance, if not identified early and treated …

Background Pulmonary arterial hypertension (PAH) increases right ventricular (RV)
workload and decreases myocardial oxygen reserve, eventually leading to poor cardiac …

Objective: To determine if a realistic, but computationally efficient model of the
electrocardiogram can be used to pre-train a deep neural network (DNN) with a wide range …

By explaining the reasoning behind AI model outputs, Explainable artificial intelligence (XAI)
can build trust in AI-based brain-computer interfaces (BCI). Commonly used XAI approaches …

Pulmonary arterial hypertension (PAH) remains a deadly and rare disorder of the pulmonary
vasculature. A combination of vasoconstriction and cellular proliferation of the pulmonary …