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...
Our 2022 DSI Travel Grant Recipient, Tina Shiang, MD, recounts her experience at the 2023 ACR Data Science Summit and SIIM Annual Meeting, including a...
A thoughtful approach to implementing AI tools can prevent adverse effects that can lead to disparities in healthcare.
Photoacoustic (PA) Imaging is an emerging imaging modality that enables imaging via optical absorption in biological tissues with acoustic resolution....
There are unanswered questions about what happens in situations where the human expert disagrees with AI, and how those situation are perceived or pot...
An advance look at the topics of the ACR’s 2022 Imaging Informatics Summit
The 2022 Data Science Summit delved into the complex relationship between AI expectations and strategies for successful AI implementation.
While de-identification of data is notoriously difficult, there are several methods helping radiology applications protect patient privacy and making ...
You don’t need to be a full-time data scientist to keep abreast of the newest technologies.
When it comes to potential issues with AI models, radiologists must be vigilant.
ACR has been productive in developing the tools radiologists need to make progress with AI.
Radiologists can now get involved and develop expertise by registering their sites to take part in the ACR DSI AI federated learning program on AI-LAB...
Attending the ACR Imaging Informatics Summit will help you take your organization’s informatics projects from concept to reality.
The ACR DSI Summit delivered technical, financial, and patient-focused insights into today's imaging AI, providing context on how DSI is facilitating ...
DICOM Supplement 224 will alleviate the roller-coaster rides of AI deployment by standardizing processing services and applications to help catalyze A...
It is up to you to be sure your AI model continues to work as expected — and the jury is still out on the best way to do it.
A multi-site federated learning approach to AI algorithm training can protect patient privacy and help make AI development more generalizable to wides...