Keith J. Dreyer, DO, American College of Radiology (ACR) Data Science Institute chief science officer, breaks down radiology AI down into 4 areas and discusses where these areas stand with regulatory approval.

“Although regularly assessing and updating these models is necessary to ensure accurate performance, there is no standard approach to addressing model drift.” 

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains how radiology vendors have developed AI app stores to make it easier to access new FDA cleared AI algorithms.
 

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.