Latest AI and machine learning research in public health & policy for healthcare professionals.
Accurate and efficient predictions of pollutants in the atmosphere provide a reliable basis for the scientific management of atmospheric pollution. This study develops a model that combines an attention mechanism, convolutional neural network (CNN), and long short-term memory (LSTM) unit to predict the O and PM levels in the atmosphere, as well as an air quality index (AQI). The prediction results...
The recent paper by Kariampuzha et al. describes an exciting application of artificial intelligence to rare disease epidemiology. The authors' AI model appears to offer a major leap over Orphanet, the resource which is often a "first stop" for basic epidemiological data on rare diseases. To ensure appropriate use of this exciting tool, it is important to consider its strengths and weaknesses in co...
Cardiac-related disorders are rapidly growing throughout the world. Accurate classification of cardiovascular diseases is an important research topic ...
BACKGROUND: Surgical site infection (SSI) surveillance is a labor-intensive endeavor. We present the design and validation of an algorithm for SSI det...
As one of the main causes of morbidity and mortality, viral infections have a major impact on the well-being and economics of every nation in the glob...
This article discusses the practical applications of artificial intelligence in digital physical activity and falls prevention interventions for older...
The ten countries with the highest population during the pandemic were analyzed for clustering based on the quantitative numbers of COVID-19 and polic...
BACKGROUND: To advance new therapies into clinical care, clinical trials must recruit enough participants. Yet, many trials fail to do so, leading to ...
In the era of big data, generative artificial intelligence (AI) models are currently in a boom. The Chatbot Generative Pre-trained Transformer (ChatGP...
The increasing prevalence of infections caused by antibiotic-resistant bacteria is a global healthcare crisis. Understanding the spread of resistance ...
Psychological distress is a major contributor to human physiology and pathophysiology, and it has been linked to several conditions, such as auto-immu...
BACKGROUND: Robotic gastrectomy (RG) using the da Vinci Surgical System for gastric cancer was approved for national medical insurance coverage in Jap...
The National Institute of Occupational Safety and Health (NIOSH) defines as "policies, programs and practices that integrate protection from work-rel...
Heart failure is a life-threatening syndrome that is diagnosed in 3.6 million people worldwide each year. We propose a deep fusion learning model (DFL...
BACKGROUND: Infection prevention and control (IPC) is essential to prevent nosocomial infections. This manuscript aims at investigating the current us...
The role of imaging in pretreatment staging and management of prostate cancer (PCa) is constantly evolving. In the last decade, there has been an ever...
Non-contact temperature measurement of persons during an epidemic is the most preferred measurement option because of the safety of personnel and mini...
An otherwise well 28-month-old girl presented with fever/left thigh pain. Computed tomography identified a 7Â cm right posterior mediastinal tumor exte...
Artificial intelligence (AI) proves decisive in today's rapidly developing society and is a motive force for the evolution of financial technology. As...
The performance of human gait recognition (HGR) is affected by the partial obstruction of the human body caused by the limited field of view in video ...