Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
High-quality clinical documentation is essential for safe, effective care, yet producing it is time ...
UK ambulance services face record demand, resourcing challenges and rising clinical documentation bu...
Bias in machine learning is a persistent challenge because it can create unfair outcomes, limit gene...
Questionnaires that capture patient-reported symptomatology provide low-cost but potentially high-va...
Heart failure (HF), including heart failure with preserved ejection fraction (HFpEF) and heart failu...
Automated machine learning (AutoML) promises to democratize predictive modeling in healthcare by aut...
To identify clusters of high-cost patients in England based on diagnoses and sociodemographic charac...
Preoperative cardiovascular (CV) risk stratification is essential in non-cardiac surgery, but conven...
Use of coercive measures in psychiatric hospitals is clinically and ethically challenging. Aiming to...
Differentiating between motor functional dissociative seizures (FDS) and motor epileptic seizures (E...
The increasing availability of electronic health records (EHRs) provides opportunities to apply mach...
For large language models (LLMs) to reach their potential as information technology tools that make ...
Early prediction of in-hospital death remains a significant challenge due to the limited availabilit...
The mortality rate is very high in patients with severe COVID-19. Nearly 32% of COVID-19 patients a...
OBJECTIVE: The purpose of this study was to develop and validate machine learning models that can pr...
Tuberculosis (TB) remains a global health challenge, with timely and accurate diagnosis being critic...
Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infecti...
Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...
Medication recommendation is one of the most critical health-related applications, which has attra...
Although advances in brain surgery techniques have led to fewer postoperative complications requir...
This study introduces an AI-driven platform for continuous and passive patient monitoring in hospi...