In a study by researchers at Case Western Reserve University and MetroHealth, emergency room patients flagged by an AI algorithm as potentially having sepsis received antibiotics sooner and had better outcomes than those receiving standard care for sepsis. The findings from the study have been published in the journal, Critical Care Medicine. Sepsis is a life-threatening reaction to an infection that occurs when the body's immune system overreacts to an infection and starts to damage the body's own tissues and organs. The prognosis of patients with sepsis is related to the severity or stage of sepsis, as well as to the underlying health status of the patient. It is estimated that patients with severe sepsis or septic shock have a mortality rate of about 40% to 60%, so it is very important that sepsis is detected as early as possible.

Researchers are utilising artificial intelligence (AI) to develop an early warning system that can identify manipulated images, deepfake videos and disinformation online in 2020 US election. The project is an effort to combat the rise of coordinated social media campaigns to incite violence, sew discord and threaten the integrity of democratic elections. According to the study, published in the journal Bulletin of the Atomic Scientists, the scalable, automated system uses content-based image retrieval and applies computer vision-based techniques to root out political memes from multiple social networks. "Memes are easy to create and even easier to share. When it comes to political memes, these can be used to help get out the vote, but they can also be used to spread inaccurate information and cause harm," said study researcher Tim Weninger, Associate Professor at the University of Notre Dame in the US.