Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Sepsis is defined as dysregulated host response caused by systemic infection, leading to organ failu...
Several case series have demonstrated the safety and feasibility of outpatient robot-assisted radic...
Emergency department (ED) overcrowding is a global condition that severely worsens attention to pati...
PURPOSE: Real-time MRI-guided laser interstitial thermal therapy (LITT) is a challenging procedure d...
BACKGROUND: Many mortality prediction models have been developed for patients in intensive care unit...
More than 750Â 000 women in Italy are surviving a diagnosis of breast cancer. A large body of literat...
Many studies have shown the operative feasibility and safety of robotic thyroidectomy. However, the...
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce...
BACKGROUND: Online Cancer Support Groups (OCSG) are becoming an increasingly vital source of informa...
In this work, we utilize a combination of free-text and structured data to build Acute Respiratory D...
Robot-assisted radical cystectomy (RARC) with intracorporeal Studer pouch formation (ICSPF) is incr...
Growing evidence illustrates the shortcomings on the current understanding of the full complexity of...
Reconstructing a "forma mentis", a mindset, and its changes, means capturing how individuals perceiv...
Poor Medication adherence causes significant economic impact resulting in hospital readmission, hosp...
Early onset, intensive and repetitive, gait training may improve outcome after stroke but for patien...
BACKGROUND: Accurate prediction of operative transfusions is essential for resource allocation and i...
Technological advancements are the main drivers of the healthcare industry as it has a high impact o...
PURPOSE: To assess the feasibility of same-day discharge (SDD) after robot-assisted radical prostate...
Clinical pharmacology is a multidisciplinary data sciences field that utilizes mathematical and stat...