Latest AI and machine learning research in public health & policy for healthcare professionals.
INTRODUCTION: Substandard medicines are medicines that fail to meet their quality standards and/or s...
Accurately forecasting the case rate of malaria would enable key decision makers to intervene months...
Although deep learning algorithms show increasing promise for disease diagnosis, their use with rapi...
BACKGROUND: Advanced prediction of the daily incidence of COVID-19 can aid policy making on the prev...
Surveillance cameras are being installed in many primary daily living places to maintain public safe...
Artificial Intelligence in healthcare employs machine learning algorithms to emulate human cognition...
The world is experiencing an unprecedented crisis due to the coronavirus disease (COVID-19) outbreak...
BACKGROUND: The objective of this study was to develop a portal natural language processing approach...
Robotics, once combined with cold atmospheric plasma, represent key elements of the next generation ...
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) the causal agent for COVID-19, is a com...
There is a well-established tradition within the statistics literature that explores different techn...
Brucellosis is one of the major public health problems in China, and human brucellosis represents a ...
Keeping an eye on pedestrians as they navigate through a scene, surveillance cameras are everywhere....
Big data is defined as being large, varied or frequently updated, and usually generated from real-wo...
The world has been facing the COVID-19 pandemic since December 2019. Timely and efficient diagnosis ...
Medication therapy management (MTM) and comprehensive medication management (CMM) have been practic...
Effective and timely disease surveillance systems have the potential to help public health officials...
Rare diseases affect between 25 and 30 million people in the United States, and understanding their ...
Deep learning architectures have an extremely high-capacity for modeling complex data in a wide vari...
The prevalence of prediabetes is rapidly increasing, and this can lead to an increased risk for indi...
Suicide is inherently difficult to predict. Epidemiological research identified many general risk fa...