Researchers have used AI technology to predict a patient’s chance of death, heart attack or stroke better than human doctors, sharing their findings in a new study in Circulation.

AI models can be trained to predict outcomes in meningioma patients, according to new research published in npj Digital Medicine. The study’s authors even developed a free smartphone app so others can explore their work.

AI promises to make a titanic impact on radiology, but most of the attention tends to focus on its ability to identify important findings in medical images. What about the technology’s non-interpretive qualities?

Researchers have found they can use microbe samples—and a little help from machine learning techniques—to predict someone’s age.


Machine learning-based algorithms can predict how patients will respond to antidepressants, according to new research published in Nature Biotechnology. The secret, the authors revealed, is electroencephalography (EEG) data.

Olaris has received a new grant from The Michael J. Fox Foundation for Parkinson’s Research (MJFF).

President Trump’s 2021 budget proposal included significant cuts related to healthcare and science research, but AI received additional funding compared to 2020.

AI models can predict when patients may be at an increased risk of in-hospital mortality, according to new research published in JAMA Network Open. If implemented, such models could be used to help healthcare providers improve decision-making and deliver better patient care.

According to a new AI simulation, the Wuhan coronavirus could kill 52.9 million people within 45 days—and infect 2.5 billion overall.

Machine learning (ML) can provide significant value in the field of palliative care. However, researchers still have a lot of unexplored ground to cover before the technology reaches its full potential.

Chun Yuan, PhD, has received a two-year, $200,000 grant from the American Heart Association’s Institute for Precision Cardiovascular Medicine for his work on using AI to detect blocked arteries and cardiovascular risk.

Another AI provider has donated key resources to help healthcare workers currently combating the deadly coronavirus outbreak.