Charles Kahn, Jr., MD, editor of the the journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, explains the work involved integrating AI in radiology systems and the role of AI in augmenting patient care.
 

Charles E. Kahn, Jr., MD, MS, editor of the the RSNA  journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, discusses the need to validate AI algorithms with your own patient population data.  

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. 

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.
 

The “Building Connections Across the Americas: Addressing Access to Radiology” program will center on developing partnerships to advance health equity initiatives across South, Central and North America.

These abstracts can be submitted to RSNA starting on July 6, 2022. Submissions will be accepted until August 3 at noon CST. 

PET/CT imaging in these patients increases overall survival depending on the cancer’s stage, with those diagnosed with stage 3A and 3B NSCLC appearing to benefit the most from the exam.