Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
: To remove blood from an incision and find the incision spot is a key task during surgery, or else ...
IMPORTANCE: The Undiagnosed Diseases Network (UDN) is a national network that evaluates individual p...
The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus,...
BACKGROUND: Early and accurate evaluation of severity and prognosis in acute pancreatitis (AP), espe...
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (...
Allergy mention normalization is challenging because of the wide range of possible allergens includi...
Remote Patient Monitoring (RPM) has gained great popularity with an aim to measure vital signs and g...
OBJECTIVE: To develop machine learning (ML) models capable of predicting ICU admission and extended ...
Admission trauma whole-body CT is routinely employed as a first-line diagnostic tool for characteriz...
Robotic adrenalectomy offers several clinical benefits if compared with laparoscopic adrenalectomy;...
Artificial intelligence is a broad field that comprises a wide range of techniques, where deep learn...
Early admission to the neurosciences intensive care unit (NSICU) is associated with improved patient...
The aim of this study was to develop a predictive model of pediatric mortality in the early stages o...
Machine learning has been suggested as a means of identifying individuals at greatest risk for hospi...
MOTIVATION: Recurrent neural networks (RNN) are powerful frameworks to model medical time series rec...
IMPORTANCE: In the US, more than 600 000 adults will experience an acute myocardial infarction (AMI)...
Artificial intelligence can facilitate clinical decision making by considering massive amounts of me...
To compare perioperative, functional, and oncologic outcomes between robot-assisted partial nephrec...
The use of artificial intelligence (AI) algorithms in the field of radiology is becoming more common...
In this work, we propose a theoretical framework based on maximum profile likelihood for pairwise an...
The impact of sex and gender in the incidence and severity of coronavirus disease 2019 (COVID-19) r...