The system will assist radiologists by identifying lesions and drafting a single-sentence, localization-aware report alerting readers to the finding.

The AMA doesn’t refute much of the Trump AI Action Plan so much as amplify some of its talking points. One exception is the plan’s open disdain for ‘woke’ AI.

Researchers found clear benefit based on their modeling study while highlighting the need for real-world investigations to further enhance the accuracy of their estimates. 

If humanistic medicine is to endure the slow-motion AI tsunami flooding the healthcare landscape, humans will have to see those two forces—humanistic medicine and healthcare AI—not as oppositional to each other but as potentially synergistic. 

The method utilizes findings from PET/MR imaging to differentiate between changes in tissue owed to treatment versus tumor progression.

A Signify Research representative highlights key trends in cardiovascular IT systems, including the growing role of AI and much more. 

Harvard radiologists recently created a machine learning model based on the number of unread images, which can accurately predict next-day demand.

The San Francisco-based company says the updates will accelerate radiology workflows by removing administrative burdens and freeing up radiologists to spend more time reviewing imaging exams instead.