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).

Deep learning-based AI models can improve the segmentation of white matter in 18F-FDG PET/CT images, according to a new study published in the Journal of Digital Imaging. This helps radiologists with the early diagnosis of neurodegenerative disease.

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

Prolonged cardiac surgery wait times in Wales are forcing physicians to cherry-pick patients for treatment elsewhere, the BBC reported this month.

Among the team’s key findings were that around 10% of infected patients first presented with digestive troubles rather than fever and cough. More striking still, 41% seemed to have become infected within the hospital—and many of these were healthcare workers.

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.

Caption Health, a California-based AI company, has received authorization from the FDA to market its software solution for acquiring echocardiography images in the United States.