An algorithm developed using artificial intelligence (AI) could soon be used by doctors to diagnose heart attacks with better speed and accuracy than ever before, according to new research from the University of Edinburgh, funded by the British Heart Foundation and the National Institute for Health and Care Research, and published today in Nature Medicine [1].

In the future, artificial intelligence (AI) will play an important role in medicine. In diagnostics, successful tests have already been performed: for example, the computer can learn to categorise images with great accuracy according to whether they show pathological changes or not. However, it is more difficult to train an AI to examine the time-varying conditions of patients and to calculate treatment suggestions

For millions of Americans playing some type of video game is a daily occurrence. Games can be a welcome form of entertainment and relaxation for many, and the internet can even make gaming a social activity. However, excessive video game playing to the point of isolation, addiction or changes in mood or behavior are growing concerns with this pastime. These possible negative effects may also contribute to anxiety and depression in some people and gaming may have varying effects on social connections.

Scientists from UNSW Sydney with collaborators at Boston University have developed a tool that shows early promise in detecting Parkinson’s disease years before the first symptoms start appearing.

In research published today in the journal ACS Central Science, the researchers described how they used neural networks to analyse biomarkers in patients' bodily fluids.

An artificial intelligence (AI) tool has successfully identified people at the highest risk for pancreatic cancer up to three years before diagnosis using solely the patients’ medical records, according to new research led by investigators at Harvard Medical School and the University of Copenhagen, in collaboration with VA Boston Healthcare System, Dana-Farber Cancer Institute, and the Harvard T.H. Chan School of Public Health.

A new publication in the May issue of Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, demonstrates the power of artificial intelligence (AI) to discover novel senolytic compounds, a class of small molecules under intense study for their ability to suppress age-related processes such as fibrosis, inflammation and cancer.

An artificial intelligence (AI) system enables robots to conduct autonomous scientific experiments - as many as 10,000 per day - potentially driving a drastic leap forward in the pace of discovery in areas from medicine to agriculture to environmental science.

Reported today in Nature Microbiology, the team was led by a professor now at the University of Michigan.