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.
There are unanswered questions about what happens in situations where the human expert disagrees with AI, and how those situation are perceived or pot...
The 2022 Data Science Summit delved into the complex relationship between AI expectations and strategies for successful AI implementation.
Attending the ACR Imaging Informatics Summit will help you take your organization’s informatics projects from concept to reality.
While a modest amount of AI is currently in clinical practice, many members plan to purchase AI soon, making ACR’s support valuable for AI integ...
Medical students today want to hear radiology’s value proposition in an AI-enabled era. We must be prepared to explain why radiology is a solid ...
A multi-site federated learning approach to AI algorithm training can protect patient privacy and help make AI development more generalizable to wides...
The argument that AI will soon replace radiologists is trendy, but it doesn’t hold up under scrutiny. AI will enhance the value we provide to pa...
For radiologists to be present, fairly valued, and more patient-facing, we must embrace the new technology that is shaping a changing imaging landscap...
An unofficial guide to what you'll learn at the Informatics Summit from those who are developing and using AI in clinical care and hospital operations...
Younger generations are generally willing to embrace new technology like artificial intelligence. For better or worse, AI will be shaped by them.
How can institutions, vendors, and physicians work together to implement AI algorithms that have been critically assessed in routine clinical practice...
Radiomics may one day improve precision medicine through the clinical assessment of tumors and other diseases.
These first-of-their-kind use cases are building a framework to facilitate the development and implementation of AI applications that are poised to he...