The Planetary Child Health & Enterics Observatory dashboard aims to shed light on the global public health threat of ...
The newly formed Trustworthy & Responsible AI Network aims to advance the quality and safety of artificial intelligence in ...
New study suggests that principles of behavioral economics – such as risk aversion – may have a significant impact on attitudes around vaccination and immunization.
A deep neural network-based automated detection tool could assist emergency room clinicians in diagnosing COVID-19 effectively using lung ultrasound images.
AI improves performance for some radiologists, but not others, raising questions about a one-size-fits-all integration ...
Two AI-driven tools can accurately detect cases of central line-associated bloodstream infection and catheter-associated ...
New research suggests that generative artificial intelligence could speed the development of health software by improving ...
Healthcare organizations report an average 124% ROI for their data investments, but many cite data management and integration as major roadblocks.
Google Health detailed recent advances in its generative AI research, alongside efforts to improve health equity and disease ...
Two MRI-based models to predict prostate cancer risk performed well in European and North American cohorts, but were prone to underestimate risk in a third group.
Machine learning models accurately forecasted one-year major adverse outcomes following endovascular intervention for peripheral artery disease.