Latest AI and machine learning research in public health & policy for healthcare professionals.
The development of medical assisting tools based on artificial intelligence advances is essential in...
Digital data sources have become ubiquitous in modern culture in the era of digital technology but ...
Within the recent pandemic, scientists and clinicians are engaged in seeking new technology to stop ...
Google health-based Knowledge Panels were designed to provide users with high-quality basic medical ...
The Covid-19 pandemic represents one of the greatest global health emergencies of the last few decad...
BACKGROUND: The concurrent growth of large-scale oncology data alongside the computational methods w...
Professional cleaning and safe social distance monitoring are often considered as demanding, time-co...
BACKGROUND: The aim of this study was to assess insignificant prostate cancer (iPCa) rates after rob...
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China, has infected ...
BACKGROUND: Iraq is among the countries affected by the COVID-19 pandemic. As of 2 August 2020, 129,...
Epidemic diseases (EDs) present a significant but challenging risk endangering public health, eviden...
Video anomaly recognition in smart cities is an important computer vision task that plays a vital ro...
At present, the global pandemic as it relates to novel coronavirus pneumonia is still a very difficu...
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personali...
BACKGROUND: As a neglected cross-species parasitic disease transmitted between canines and livestock...
The world's oceans are one of the most valuable sources of biodiversity and resources on the planet,...
BACKGROUND: Controlling the COVID-19 outbreak in Brazil is a challenge due to the population's size ...
Policy Points With increasing integration of artificial intelligence and machine learning in medicin...
OBJECTIVES: During periods such as the COVID-19 crisis, there is a need for responsive public health...
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies ...
PURPOSE: The main purpose of this work was to develop an efficient approach for segmentation of stru...