More than 350 teams submitted results as part of the SIIM-ACR Pneumothorax Detection and Localization Challenge and were required to create algorithms to prioritize patients for quick review and treatment.

The results are in! The American College of Radiology (ACR) and Society for Imaging Informatics in Medicine (SIIM) announced the winners of the groups’ machine learning challenge during SIIM’s Conference on Machine Learning in Medical Imaging in Austin, Texas.

The American College of Radiology (ACR) has cheered the inclusion of a key provision to the No Surprises Act (HR 3630), new legislation designed to address the issue of surprise medical bills.

The lopsided male-to-female ratio among radiologists and radiology residents—around three men for every one woman—has remained stubbornly constant despite years-long efforts to narrow the gap. This reality is reinforced each time the American College of Radiology conducts its annual workforce survey.

The Machine Learning Challenge on Pneumothorax Detection and Localization will kick-off at the SIIM 2019 Annual Meeting starting June 26 in Aurora, Colorado.

The Society for Imaging Informatics in Medicine (SIIM) and American College of Radiology (ACR) are hosting a new machine learning challenge as part of a collaboration with the Society of Thoracic Radiology (STR) and MD.ai.

According to CMS's latest attestation data, some 4,720 unique diagnostic radiologists have at least one year of participation in Stage 1 or Stage 2 Meaningful Use under their belts. This cohort has made around 9,000 unique attestations since 2011, showing quantifiable and clinically significant use of certified EHR technology.

H.R. 2914, the Promoting Integrity in Medicare Act of 2013, seeks to curb overutilization of advanced diagnostic imaging by significantly narrowing the types of medical services that would fall under "in-office ancillary services" exception to the Stark Law