Week in Review: The ethics of AI | Reducing burnout, loneliness among trainees | Outside imaging studies

Numerous imaging societies, including the American College of Radiology (ACR) and RSNA, have published a new statement on the ethical use of AI in radiology.

Burnout is a pervasive and growing problem among young radiologists, but one Boston-based hospital may have found a remedy. 

The American Cancer Society (ACS) has shared a new update on breast cancer statistics in the United States, drawing data from a wide variety of sources. The full report was published in CA: A Cancer Journal for Clinicians on Oct. 2.

The American College of Radiology has “significant concerns” about the federal government’s proposed physician payment schedule for 2020 and is worried it could have a “devastating impact” on medical imaging.

Numerous researchers have documented the benefits of obtaining a second opinion on the review of imaging studies performed at another institution. However, little has been published on how to handle such outside data in terms of payment and keeping records. 

An x-ray interpretation system driven by AI can decipher images in just 10 seconds, compared to 20 minutes or more for its physician counterparts.

The American College of Radiology (ACR) is now asking Congress to intervene to help stop budget changes that could severely hamper imaging professionals.

Shared decision-making (SDM) plays a key role in patient-centered care. And according to a new analysis published in the American Journal of Roentgenology, it’s a process radiologists can be more involved in than they may think.