Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Background Pulmonary rehabilitation (PR) is beneficial, yet outcome assessment remains inconsistent....
OBJECTIVES: This study evaluates the impact of the artificial intelligence (AI) application BoneView...
OBJECTIVE: To explore the gaps, needs, and priorities in the pharmacy curriculum of Pakistan and syn...
BACKGROUND: Macrophage activation syndrome (MAS) secondary to Still's disease is a potentially fatal...
BACKGROUND: Postoperative respiratory failure (PRF) is a severe complication after open-heart surger...
BACKGROUND & AIMS: Nutritionally rehabilitating children admitted to hospitals with severe acute mal...
BACKGROUND: Clear discharge instructions are essential for safe emergency department (ED) care, yet ...
Efficient workforce management is critical for ensuring the quality, safety, and sustainability of h...
Prostate magnetic resonance imaging (MRI) has become a crucial tool in diagnosing and managing prost...
BACKGROUND: Accurate and equitable prediction of trauma-related in-hospital mortality is critical fo...
BACKGROUND: This study aims to develop an interpretable machine learning model using SHapley Additiv...
Accurate forecasting of patient arrivals at emergency departments (EDs) is vital for efficient resou...
In-hospital mortality among patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (C...
BACKGROUND: As patients increasingly turn to artificial intelligence (AI) chatbots for medical infor...
Cold-chain disruptions during storage and distribution of raw poultry can significantly reduce produ...
Robotic-assisted bronchoscopy (RAB) is an emerging diagnostic and interventional technology which in...
BACKGROUND: Inflammation plays a pivotal role in the progression of diabetes and its cardiovascular ...
BACKGROUND: The global nursing shortage, exacerbated by heavy workloads and high turnover rates asso...
In 2025, interventional pulmonology continues to progress rapidly through technological innovation a...
INTRODUCTION: Errors in emergency department (ED) documentation can lead to patient harm and medicol...
OBJECTIVE: Machine learning models (ML) often require localization to perform optimally in local pop...