Latest AI and machine learning research in nursing for healthcare professionals.
To compare the perioperative, functional, and oncologic outcomes of robot-assisted partial nephrect...
The first collection of Star Trek (ST) papers in this journal concentrated on the various doctors th...
Electronic health record (EHR) data must be mapped to standard information models for interoperabili...
Reconstructing a "forma mentis", a mindset, and its changes, means capturing how individuals perceiv...
AIM: The primary aim of this study was to examine the impact of age, gender and the stage of dementi...
INTRODUCTION: Research has shown that frailty, a geriatric syndrome associated with an increased ris...
Integrated breast cancer care is complex, marked by multiple hand-offs between primary care and spec...
Hospital-acquired infections remain a common cause of morbidity and mortality despite advances in in...
Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery. T...
Herein, an isothermal padlock probe-based assay for the simple and portable detection of pathogens c...
Introduction Chronic subdural hematomas (cSDH) are common in neurosurgery with various symptoms and ...
Network medicine can advance current medical practice by arising as response to the limitations of a...
BACKGROUND: Advances in artificial intelligence (AI), robotics and wearable computing are creating n...
The training of physician-scientists lies at the heart of future medical research. In this commentar...
BACKGROUND: Antibiotic exposure is often inadequate in critically ill patients with severe sepsis or...
BACKGROUND: In the hospital setting, it is crucial to identify patients at risk for deterioration be...
In vivo reflectance confocal microscopy (RCM) enables clinicians to examine lesions' morphological a...
New technology, such as social robots, opens up new opportunities in hospital settings. PARO, a robo...
IMPORTANCE: Inpatient overcrowding is associated with delays in care, including the deferral of surg...
We aimed at reducing alarm fatigue in neonatal intensive care units by developing a model using mach...
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in...