A new study in JACC: Cardiovascular Imaging focuses on a potential new side effect of COVID-19, highlighting the continued importance of monitoring these patients going forward. 

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains the state of AI in radiology in 2022. 

Experts assessed a total of 192 retracted publications—a number that the authors of the study conceded appeared to be growing in more recent years. 

The new analysis included 43,000 eligible U.S. veterans, 32% of whom were observed to have declined annual CT screening for lung cancer.

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.

Prior attempts at imaging large fossils such as mammoth tusks failed to capture the full artifact with just one scan, instead requiring multiple partial scans that were subsequently pieced together.

“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).

A new study highlights the benefits of MRI for determining pregnancy risks related to placental dysfunction, opening doors for earlier care management.