Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Uretero-enteric anastomotic strictures (UES) after robot-assisted radical cystectomy (RARC) represen...
Coronavirus disease 2019 is a global health threat often accompanied with coagulopathy. Despite use...
BACKGROUND: There is an unmet need for timely and reliable prediction of post-cardiac arrest (CA) cl...
PURPOSE: Ventilator-associated pneumonia is the most common nosocomial infection in patients with me...
Acute kidney injury (AKI) is frequently associated with COVID-19 and it is considered an indicator o...
The surgical treatment of horseshoe kidney (HSK) remains a huge challenge because of the complex an...
This study was aimed at exploring the treatment of asthma children with small airway obstruction in ...
This paper aims to explore the application value of SonoVue contrast-enhanced ultrasonography based ...
I introduce here what we have been and are doing in the Cross-ministerial Strategic Innovation Promo...
PURPOSE: To investigate the sustainability of Robot-assisted upper limb therapy (RT-UL) as part of r...
To compare open and robotic approach for treatment of Primary Obstructive Megaureter (POM) in a ser...
The treatment of rectal cancer is complex and involves specialized multidisciplinary care, although ...
BACKGROUND AND OBJECTIVE: When using machine learning techniques in decision-making processes, the i...
Survival prediction is highly valued in end-of-life care clinical practice, and patient performance ...
OBJECTIVES: Liquid medications provide an alternative to splitting pills and dosages by measuring an...
OBJECTIVES: We aimed at identifying the important variables for labour induction intervention and as...
HIV/AIDS is an ongoing global pandemic, with an estimated 39 million infected worldwide. Early detec...
The Intensive Care Unit (ICU) is an important unit for the rescue of critically ill patients in hosp...