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Example of a radiology diagnostic aid artificial intelligence (AI) algorithm with Lunit's mammography cancer lesion detection system.

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.

American Heart Association and Joint Commission launch new Comprehensive Heart Attack Center certification.

The new certification, based on recommendations published in Circulation, was developed to signal that a facility offers cardiac surgery and primary PCI at all times. 

Money dollar investments

The new report, based on data from the U.S. Bureau of Labor Statistics, once again highlights the fact that cardiology is associated with high demand and high compensation in today's market. 

Out of 305 U.S. employers surveyed, 35% said they now offer travel and lodging benefits for elective and medically necessary abortions.

Example of an artificial intelligence (AI) app store on the Sectra website, where Sectra PACS users can select the AI algorithms they want that are already integrated into the Sectra System. Other vendors have followed a similar approach to AI developed by many smaller vendors they partner with.

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 artificial intelligence (AI) for radiology. Dreyer also holds the positions of vice chairman of radiology at Massachusetts General Hospital, chief data science and information officer for the departments of radiology for both Massachusetts General Hospital and Brigham and Women's Hospital.

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).

Around the web

Clinlab.AI will oversee every aspect of this new-look laboratory, working to integrate it with the practice's workflows in a way that boosts patient care and speeds up treatment decisions.