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.

With digital radiology, PACS and RIS in use for 15 years or more at most US hospitals, a disparate system architecture is now the reality for most departments. Multiple PACS and mini-PACS populate the environment, resulting in inefficiencies, increased operating costs, and reduced throughput for departments.

At the close of the CMIO Leadership Forum: Transforming Healthcare Through Evidence-based Medicine, we invited five luminaries to build on the abundant discussions and dive deeper into the quality of the evidence in medicine, the lack of evidence in many cases, the struggle to engage physicians and patients, and strategies for integrating evidence-based medicine (EBM) into clinical practice. 

Radiology departments have been seeking ways to work better-managing images from multiple PACS and multiple departments and seeking to increase radiologists' reading efficiency by delivering more information to their workstation. In a world of disparate PACS and multi-ology images, the notion of a universal workstation to deliver patient results efficiently is both a necessity and now - a reality.