Latest AI and machine learning research in surveillance for healthcare professionals.
BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy with a dismal prognosis. We aimed to identify predictors of survival among male and female MPM patients in the United States.
Chronic kidney disease (CKD) treated by hemodialysis (HD) is a worldwide major public health problem. Its incidence is getting higher and higher, leading to an alarming social and economic impact. The survival of these patients is significantly low, especially during the first year of treatment. The purpose of our study was to identify the epidemiological and clinico-biological characteristics of ...
The rise of digital data and computing power have contributed to significant advancements in artificial intelligence (AI), leading to the use of class...
PURPOSE: Despite tremendous gains from deep learning and the promise of artificial intelligence (AI) in medicine to improve diagnosis and save costs, ...
BACKGROUND: The Skeletal Oncology Research Group (SORG) machine learning algorithm for predicting survival in patients with chondrosarcoma was develop...
The models used to estimate disease transmission, susceptibility and severity determine what epidemiology can (and cannot tell) us about COVID-19. The...
Understanding patient-perceived outcomes is crucial for assessing the effectiveness and acceptability of hepatitis C virus (HCV) treatment. This study...
The volume, velocity and variety of data collected about individuals have increased exponentially over the last decade, presenting new injury surveill...
Streptococcus pneumoniae is the most common human respiratory pathogen, and β-lactam antibiotics have been employed to treat infections caused by S. p...
Chest radiographs are primarily employed for the screening of pulmonary and cardio-/thoracic conditions. Being undertaken at primary healthcare center...
Increasingly, interventions aimed at improving care are likely to use such technologies as machine learning and artificial intelligence. However, heal...
Concurrent advances in information technology infrastructure and mobile computing power in many low and middle-income countries (LMICs) have raised ho...
Artificial intelligence surveillance can be used to diagnose individual cases, track the spread of Covid-19, and help provide care. The use of AI for ...
Big data is the fuel of mankind's fourth industrial revolution. Coupled with new technology such as artificial intelligence and deep learning, the pot...
Ophthalmology has been at the forefront of many innovations in basic science and clinical research. The randomized prospective multicenter clinical tr...
INTRODUCTION: Identification of adverse events and determination of their seriousness ensures timely detection of potential patient safety concerns. A...
PURPOSE: To develop a deep convolutional neural network (CNN) model to categorize multiphase CT and MRI liver observations using the liver imaging rep...
Nutrition research can be conducted by using two complementary approaches: (i) traditional self-reporting methods or (ii) via metabolomics techniques ...
BACKGROUND: The identification of surgical site infections for infection surveillance in hospitals depends on the manual abstraction of medical record...