An artificial intelligence-driven screening tool developed by a research team at the University of Wisconsin School of Medicine and Public Health successfully identified hospitalized adults at risk for opioid use disorder and recommended referral to inpatient addiction specialists....
Ben Lengerich, an assistant professor in the Department of Statistics at UW–Madison, is on the forefront of this field, exploring and advancing the power of AI to predict and explain health outcomes. ...
Insights from artificial intelligence could eventually transform drug development, if the quality and quantity of biological and chemical data can be improved....
The analysis of numerous clinical trials saw an uptick in Indigenous American and Asian participants in decentralized trials....
One major way AI is set to revolutionize clinical trials is by automating patient recruitment, which is typically the most time-consuming part of a clinical trial....
It’s widely agreed that clinical trial participants should reflect the populations of people who will ultimately be affected by the resulting treatments....
As the use of artificial intelligence (AI) has greatly accelerated in recent years, AI has been moving to reshape the clinical trial landscape by addressing critical challenges and improving outcomes across the entire process....
While much of the public discourse around AI focuses on its theoretical risks or future potential, the technology already has a tangible, measurable impact on healthcare today....
Electronic methods of capture of clinical endpoint data are becoming increasingly dominant, and yet it’s notable that in some respects the industry continues to critique electronic methods in a way paper-based methods are not....
Mass General Brigham, Emory and other providers, including the UW–Madison School of Medicine and Public Health, will assess different AI models from companies like Google, Microsoft and Amazon....
