Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: Incidental durotomy is an intraoperative complication in spine surgery that can lead to postoperative complications, increased length of stay, and higher healthcare costs. Natural language processing (NLP) is an artificial intelligence method that assists in understanding free-text notes that may be useful in the automated surveillance of adverse events in orthopaedic surgery. A previo...
Coronavirus 2019 (COVID-19) is a highly transmissible and pathogenic virus caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2), which first appeared in Wuhan, China, and has since spread in the whole world. This pathology has caused a major health crisis in the world. However, the early detection of this anomaly is a key task to minimize their spread. Artificial intelligence is one of...
Hypertensive patients account for about 16% to 37% of the global population, and about 9.4 million people die each year from hypertension and its comp...
Marburg virus (MARV) is a sporadic outbreak of a zoonotic disease that causes lethal hemorrhagic fever in humans. We propose a deep learning model wi...
Coronavirus born COVID-19 disease has spread its roots in the whole world. It is primarily spread by physical contact. As a preventive measure, proper...
Estimating the parameters of mathematical models is a common problem in almost all branches of science. However, this problem can prove notably diffic...
Human Activity Recognition is an active research area with several Convolutional Neural Network (CNN) based features extraction and classification met...
Since the outbreak of COVID-19, BRICS countries have experienced different epidemic spread due to different health conditions, social isolation measur...
This study aims to generate a deep learning algorithm-based model for quantitative prediction of financial losses due to accidents occurring at apartm...
Coronavirus disease 2019 (COVID-19) is a novel disease that affects healthcare on a global scale and cannot be ignored because of its high fatality ra...
This paper reviews different types of conversational agents used in health care for chronic conditions, examining their underlying communication techn...
The discipline of computer vision is becoming more popular as a research subject. In a surveillance-based computer vision application, item identifica...
Epidemiology studies have indicated that environmental cadmium exposure, even at low levels, will result in chronic cadmium accumulation in the kidney...
PURPOSE: The use of predictive models in epidemiology is relatively narrow as most of the studies report results of traditional statistical models suc...
SWIR imaging bears considerable advantages over visible-light (color) and thermal images in certain challenging propagation conditions. Thus, the SWIR...
Background Social risk factors influence rehospitalization rates yet are challenging to incorporate into prediction models. Integration of social risk...
Plaque is a bacterial biofilm that adheres to each other and exists on the tooth surface, and new plaque can continuously reform after removing it fro...
Understanding cross-domain traffic scenarios from multicamera surveillance network is important for environmental perception. Most of existing methods...
In this study, the blood test index, demographic data, and health promotion behavior of adolescents were analyzed to provide a reference for early pre...
Intelligent video surveillance systems are rapidly being introduced to public places. The adoption of computer vision and machine learning techniques ...