Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Adults with opioid use disorder (OUD) are at increased risk for opioid-related complications and rep...
The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-t...
Ventilator-associated pneumonia significantly increases morbidity, mortality, and healthcare costs a...
Driven by social media and artificial intelligence technologies, new dysmorphias increase pressures ...
Large language models (LLMs) have shown promise in educational applications, but their performance ...
BACKGROUND: Accurately predicting hospital admissions from the emergency department (ED) is essentia...
BACKGROUND: Hyperglycemic crisis is one of the most common and severe complications of diabetes mell...
BACKGROUND: The time a patient spends in the hospital from admission to discharge is known as the le...
OBJECTIVE: A report from the Canadian Institute for Health Information found unplanned hospital read...
Blood-brain barrier disruption and the neuroinflammatory response are significant pathological featu...
INTRODUCTION: Accurate and timely discharge from the Post-Anesthesia Care Unit (PACU) is essential t...
PURPOSE: Artificial intelligence models like GPT-4 (OpenAI) have the potential to support clinical d...
Artificial intelligence (AI) has the potential to revolutionize mental health care, including for ea...
BACKGROUND: Whether the application of machine learning algorithms offers an advantage over logistic...
pressure injuries are significant concern for ICU patients on mechanical ventilation. Early predicti...
Malignant pleural effusion (MPE) is a common complication in patients with advanced lung cancer, sig...
An optimized scheduling system for surgical procedures is considered fundamental for maximizing hosp...
OBJECTIVE: To identify self-reported social determinants of health (SDOH) among hospitalized patient...
Despite the continued high prevalence of colorectal cancer in the Western world, recent years have w...
The objective of this study was to develop and evaluate automated machine learning (aML) models for ...
BACKGROUND: Decisions on the best available treatment in clinical oncology are based on expert opini...