Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains 5 developments to watch for in radiology artificial intelligence (AI).

Up to 60% of radiologists have intentions of adopting artificial intelligence tools into clinical practice in the near future. 

After day shifts began bleeding into night shifts at frustratingly frequent rates, one radiology practice in Kentucky devised a plan to get its lengthy worklists back on track—enter the “bunker shift.”

Implementing an EHR cancer tracking system to review radiology reports for abnormal findings resulted in patients at one Veterans Affairs Hospital receiving their cancer diagnosis and treatment months earlier than those who were imaged before the system was put into place.

This week in AJR, experts from a large, multisite health system detailed their efforts to preserve contrast supplies by implementing electronic health record (EHR) order entry-based interventions.

Of 139,000 individuals enrolled in an online patient portal, just 27% viewed their radiology reports. 

One out of every seven radiologist follow-up recommendations contained in imaging reports is not carried out, experts recently reported in JAMA Network Open.

Better risk stratification can improve clinical decision making and better outcomes, experts involved in the study explained in EJR.