Kevin Haines, D.O., PGY-4 from University of Connecticut Health Center, shares an insightful recap of the 2024 Quality and Safety + Informatics Confer...
The ACR Quality and Safety + Informatics Conference provides a unique forum for quality and safety professionals to collaborate with informaticists, d...
This briefing is part of our series summarizing key research and articles to keep you up to speed on the latest in medical imaging AI.
Kevin Haines, D.O., PGY-4 from University of Connecticut Health Center, shares an insightful recap of the 2024 Quality and Safety + Informatics Confer...
This year’s event, held on June 26, 2024, at the Gaylord National Resort in National Harbor, Maryland, brought together thought leaders, industr...
The advent of FDA-cleared artificial intelligence (AI) tools in clinical settings marks a significant milestone in bringing these technologies from re...
At this year's SIIM-ACR Data Science Summit on June 26, our sessions will examine the attributes of trustworthy AI, including ethics, evidence, explai...
The ACR has significantly upgraded AICentral.org, making it the premier online resource for information on FDA-cleared imaging AI tools. With the grou...
Keeping up with this rapidly evolving marketplace and what it has to offer to imaging practices is a daunting task, especially if AI product selection...
Two new ACR DSI AICentral.org programs empower practices to access more-transparent AI product information and make better informed AI purchase decisi...
While AI offers exciting possibilities, there are also challenges in ensuring fairness and equity in its implementation.
Despite the many opportunities posed by AI, a recent white paper by the American College of Radiology’s Pediatric AI Working Group points out po...
Generative artificial intelligence (AI) has the potential to revolutionize the healthcare sector, but AI applications face stringent regulatory hurdle...
According to the Center for Disease Control (CDC) statistics, there are about 260,000 newly diagnosed cases of breast cancer in the United States with...
A thoughtful approach to implementing AI tools can prevent adverse effects that can lead to disparities in healthcare.
There are unanswered questions about what happens in situations where the human expert disagrees with AI, and how those situation are perceived or pot...
While the ramifications of using AI on pediatric patients aren’t yet clear, the need for advocacy is.
While de-identification of data is notoriously difficult, there are several methods helping radiology applications protect patient privacy and making ...