Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."
In the rapidly evolving healthcare landscape, artificial intelligence (AI) is making significant strides in improving radiology workflow and patient care coordination. Nicholas Galante, MD, medical director of informatics at Radiology Associates of North Texas, recently discussed how technology from Viz.ai is transforming his radiology practice, enhancing efficiency, and ultimately benefiting patient outcomes.
Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI.
Lyle McMillin, with radiology IT vendor Hyland, explains trends he sees in the market and a definite shift toward cloud and enterprise imaging to address challenges in the market.
Increasing use of cloud and AI are among the trends observed by Amy Thompson, research manager for healthcare IT at the healthcare market analysis firm Signify Research, at RSNA 2023.
Samir Patel, MD, radiologist at Radiology Inc., and a board member of the Beacon Health System, explains how AI is being implemented in clinical practice for breast imaging.
The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.
