Facility Management

Catch up on the top AI-related news and research in radiology over the past month.

The newly launched HOPPR Presto Agent reporting platform can be integrated into existing radiology systems and AI models without the need for new software.

Noting that frustration over slow implementation of technological advances may be contributing to mounting radiologist frustration and subsequent burnout, this author offers key principles for integrating technological solutions into radiology workflows.

New research suggests the silent accumulated social costs of remote work are outweighing the benefits of increased flexibility and autonomy.

In a new survey of over 2,000 health-care professionals on AI use, respondents cited benefits ranging from improved work-life balance to preventing medical errors as well as concerns about overreliance on AI and inconsistent or limited training.

The role of the radiologist is shifting, not into obsolescence but more of an architect of AI implementation and workflow orchestration in a continuously evolving health-care system.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in April 2026.

Catch up on the most-well viewed radiology content in April 2026.

In recent interviews, Andrew Del Gaizo, MD, Nicholas Galante, MD and David Larson, MD, MBA, shared their thoughts on the rapidly increasing imaging volume in radiology, key ramifications and possible solutions.

Are we overestimating the capacity of AI to address the ambiguity inherent to real-world medicine?

In a recent interview, Marc Succi, MD, discussed findings from a new study examining the clinical reasoning capabilities of 21 large language models (LLMs), including GPT-5, Grok 4 and Claude 4.5 Opus.

Catch up on the top radiology content of the past week.

Over a 10-year period, radiology report turnaround times for Medicare beneficiaries increased 113 percent with a total 87 percent increase occurring in 2022 and 2023, the last two years of a newly published retrospective study.

Only 41 percent of radiologists spotted radiographs that were generated by the large language model GPT-4o, according to newly published research.

In the second part of a two-part interview, David Larson, M.D., M.B.A, and Jason Poff, M.D., shared their insights on the recent study of a structured pre-deployment approach to assessing AI models and potential directions in future radiology research.

In the first of a two-part interview, David Larson, M.D., M.B.A., and Jason Poff, M.D., discussed a new study examining the use of a structured pre-deployment method for evaluating the value of a portfolio of AI models for radiology.

Utilized within the cloud-native Genesis Radiology Workspace, the newly FDA-cleared View reportedly facilitates anytime, anywhere efficiency with seamless access to enhanced visualization and AI-powered tools.

Catch up on the top radiology content of the past week.

While large language models (LLMs) may offer the promise of workflow efficiencies and streamlined documentation in radiology, LLMs may also increase exposure to cybersecurity risks, according to a presentation at the European Congress of Radiology (ECR).

Emerging research reveals higher attrition rates among cardiothoracic radiologists, breast radiologists and nuclear medicine physicians in comparison to other subspecialties in radiology.

Catch up on the top radiology content of the past week.

Radiologist turnover continues to be a significant challenge with higher turnover rates among women, metropolitan radiologists and those in non-academic settings, according to newly published research.

Catch up on the top radiology content of the past week.

Catch up on the most popular radiology podcasts from 2025.

Catch up on the most well-viewed video interviews in December 2025.