With all the buzz on AI at RSNA we wanted to cut through some of the hype and learn more about FDA approved AI solutions. One such solution is making news for stroke workflow and the company we spoke with already has over 300 health system installs in the US.
We asked the questions you want to: Why is imaging ripe for AI? How will improvements in image processing and reconstruction, quality control and work list prioritization improve the practice of radiology?
Learn how ML algorithms are helping radiologists to improve diagnosis, find more cancers, reduce biopsies and increase efficiency, and what IT departments need to know to deploy AI apps.
Maximize your IT investments by sharing diagnostic images and reports. Listen to physicians and hospital leaders discuss how they are meeting this challenge.
See how leading radiologists and oncologists at NIH are using technology such as semi-automated cancer lesion management and multi-media reporting software to reliably, consistently and quickly distribute reports in oncology follow up and treatment planning.