Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
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: Emergency laparotomy is associated with high rates of morbidity and mortality. Accurate,...
This review examines the prevention and management of postoperative delirium in cardiac surgery pati...
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...
complex (C) are important nosocomial pathogens that can be reservoirs of transmissible extended-spe...
Dendrobium officinale has garnered significant attention due to its notable bioactivity and health b...
The implementation of artificial intelligence (AI), particularly Viz.ai software in stroke care, has...
Digital technologies are increasingly used in healthcare. In this context, perceived safety plays a ...
Artificial Intelligence (AI)-based tools have shown potential to optimize clinical workflows, enhanc...
In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to mak...
Managing rheumatic diseases requires teamwork, but referral patterns and challenges remain poorly un...
This narrative review focuses on the integration of large language models (LLMs), such as GPT-4 and ...
Healthcare systems are increasingly integrating artificial intelligence and machine learning (AI/ML)...
Electronic incident reporting is a key quality and a safety process for healthcare organizations tha...
Single-time-point (STP) image-based dosimetry offers a more convenient approach for clinical practic...
. Effective seizure prediction can reduce patient burden, improve clinical treatment accuracy, and l...