Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Esophagectomy is a high-risk operation, regardless of technique. Minimally invasive transthoracic es...
In pituitary adenomas (PAs), the use of postoperative steroid supplementation remains controversia...
COVID-19 is a serious respiratory disease. The ever-increasing number of cases is causing heavier lo...
BACKGROUND: We aimed to cluster patients with acute kidney injury at hospital admission into clinica...
A new development in the practice of medicine is Artificial Intelligence-based predictive analytics ...
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...
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...
OBJECTIVE: Postoperative urinary retention (POUR) is a common complication after spine surgery and i...
Technologies such as machine learning and artificial intelligence have brought about a tremendous ch...
This study was to explore the effects of imaging characteristics of magnetic resonance angiography (...
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...
This study investigates the relationships which deep learning methods can identify between the input...
This study was aimed to investigate the air pollutants impact on heart patient's hospital admission ...