Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Lithium-based batteries (LiBs) are integral components in operating electric vehicles to renewable e...
Globally, heart failure (HF) is a leading cause of hospitalization and mortality, primarily among th...
OBJECTIVES: Congested hospitals are increasingly common. Electronic health (eHealth) and artificial ...
Atrial fibrillation (AF) is a common arrhythmia linked to increased mortality and significant healt...
MOTIVATION: Hospital readmissions represent a major challenge for healthcare systems due to their im...
Long COVID can develop in individuals who have had COVID-19, regardless of the severity of their in...
: Hospital readmissions are a key quality metric impacting both patient outcomes and healthcare cost...
Medication non-adherence is a global challenge with profound implications for patient health outcome...
Accurate in-hospital length of stay prediction is a vital quality metric for hospital leaders and he...
Communicating Narrative Concerns Entered by RNs Early Warning System (CONCERN EWS) is a machine-lear...
In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...
In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...
Efficient patient monitoring on the medical-surgical wards is crucial to prevent significant in-hosp...
Independent traditional gametes and recent advances in stem cell biology have made it possible to cr...
Hospital length of stay (HLOS) is a critical healthcare metric influencing patient outcomes, resourc...
Digital twin (DT) technology, integrated with artificial intelligence (AI) and machine learning (ML...
BACKGROUND: The Outpatient Arthroplasty Risk Assessment (OARA) Score was developed to risk-stratify ...
Sarcomas, a rare and complex group of cancers, require multidisciplinary care across multiple health...
: While early risk stratification in STEMI is essential, the threat of cardiogenic shock (CS) persis...
To develop and validate an explainable machine learning (ML) tool to help clinicians predict the ris...
Surface plasmons, a unique optical phenomenon arising at the interface between metals and dielectric...