Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
The present study aimed to assess the safety and efficacy of robot-assisted radical prostatectomy (R...
Because cardiac involvement of amyloid A (AA) is not frequent, little is known about the effects of ...
Continuity of care is achieved in the neonatal intensive care unit (NICU) through careful documentat...
Retroperitoneal approach and segmental renal artery clamping in partial nephrectomy are techniques ...
INTRODUCTION: Social isolation is a significant issue in aged care settings (eg, long-term care (LTC...
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a major health problem worldwide, and neurologi...
Cefepime induced neurotoxicity (CIN) is commonly associated with renal dysfunction, however CIN can...
A 34-year-old woman with a history of congenital hypothyroidism and 15 years of obstructive sleep ap...
Our aim was to investigate the usefulness of machine learning approaches on linked administrative he...
Robotic Inguinal Hernia repair has been associated with higher costs but shorter length of stay. Rob...
Accurate assessment of mitral regurgitation (MR) severity is critical in clinical diagnosis and trea...
BACKGROUND: Early identification of patients with infective endocarditis (IE) at higher risk for in-...
OBJECTIVE: Postoperative urinary retention (POUR) is a common complication after spine surgery and i...
This study was to explore the effects of imaging characteristics of magnetic resonance angiography (...
Technologies such as machine learning and artificial intelligence have brought about a tremendous ch...
BACKGROUND: Ataxic gait is one of the most common and disabling symptoms in people with degenerative...
The purpose of this study was to describe incident reporters' views identified by artificial intelli...
At the dawn of the fourth industrial revolution, the healthcare industry is experiencing a momentous...
In this paper, we capture and explore the painterly depictions of materials to enable the study of d...
This study investigates the relationships which deep learning methods can identify between the input...
: A few deep learning studies have reported that combining image features with patient variables enh...