AIMC Journal:
International journal of environmental research and public health

Showing 221 to 230 of 494 articles

Acute Effects of Nicotine on Physiological Responses and Sport Performance in Healthy Baseball Players.

International journal of environmental research and public health
There is interest in whether nicotine could enhance attention in sporting performance, but evidence on the acute effect of nicotine on physical response and sports performance in baseball players remains scant. This was an observational study to exam...

Disease Progression Detection via Deep Sequence Learning of Successive Radiographic Scans.

International journal of environmental research and public health
The highly rapid spread of the current pandemic has quickly overwhelmed hospitals all over the world and motivated extensive research to address a wide range of emerging problems. The unforeseen influx of COVID-19 patients to hospitals has made it in...

Human Factor Risk Modeling for Shipyard Operation by Mapping Fuzzy Fault Tree into Bayesian Network.

International journal of environmental research and public health
The operational activities conducted in a shipyard are exposed to high risk associated with human factors. To investigate human factors involved in shipyard operational accidents, a double-nested model was proposed in the present study. The modified ...

Machine Learning and Its Application in Skin Cancer.

International journal of environmental research and public health
Artificial intelligence (AI) has wide applications in healthcare, including dermatology. Machine learning (ML) is a subfield of AI involving statistical models and algorithms that can progressively learn from data to predict the characteristics of ne...

A Reliable and Efficient Tracking System Based on Deep Learning for Monitoring the Spread of COVID-19 in Closed Areas.

International journal of environmental research and public health
Since 2020, the world is still facing a global economic and health crisis due to the COVID-19 pandemic. One approach to fighting this global crisis is to track COVID-19 cases by wireless technologies, which requires receiving reliable, efficient, and...

Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults.

International journal of environmental research and public health
As global demographics change, ageing is a global phenomenon which is increasingly of interest in our modern and rapidly changing society. Thus, the application of proper prognostic indices in clinical decisions regarding mortality prediction has ass...

Robotic Surgery: Rediscovering Human Anatomy.

International journal of environmental research and public health
Since its advent, robotic surgery has redefined the operating room experience. It directly addressed and resolved many of the shortcomings of laparoscopic methods while maintaining a minimally invasive approach that brought benefits in cosmesis and h...

Adopting Artificial Intelligence in Public Healthcare: The Effect of Social Power and Learning Algorithms.

International journal of environmental research and public health
Although the use of artificial intelligence (AI) in healthcare is still in its early stages, it is important to understand the factors influencing its adoption. Using a qualitative multi-case study of three hospitals in China, we explored the researc...

Do People Trust in Robot-Assisted Surgery? Evidence from Europe.

International journal of environmental research and public health
(1) Background: The goal of the paper was to establish the factors that influence how people feel about having a medical operation performed on them by a robot. (2) Methods: Data were obtained from a 2017 Flash Eurobarometer (number 460) of the Europ...

A Hybrid Convolutional Neural Network Model for Diagnosis of COVID-19 Using Chest X-ray Images.

International journal of environmental research and public health
COVID-19 declared as a pandemic that has a faster rate of infection and has impacted the lives and the country's economy due to forced lockdowns. Its detection using RT-PCR is required long time and due to which its infection has grown exponentially....