DI Executive

A randomized controlled trial found that combining Disney characters with soothing ambient elements for pediatric MRI reduced anxiety levels by 43 percent in children under 10 years of age.

In recent interviews, Emanuel Kanal, MD, and Tobias Gilk, MRSO, MRSE, discuss new multicenter research examining pediatric MRI safety as well as key challenges and preventive measures in this patient population.

A go-getter spirit, positive energy and willingness to help and learn are keys to collegial respect and propelling your career in the field.

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.

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

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

In recent interviews with Diagnostic Imaging, Andrew Del Gaizo, MD, Nick Galante, MD and Marc Succi, MD, shared their perspective on the recent comment from NYC Health and Hospitals CEO Mitchell Katz, MD, about potentially replacing radiologists with AI.

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.

Positioning oneself to provide a seasoned alternative to the shortcomings of AI may help future proof more of a long game in the radiology field.

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.

A willingness to embrace self-reflection and due consideration of radiology and broader health care news, trends and perspectives — no matter how uncomfortable they make you — may help prevent you from being locked into a radiology bubble.

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 most-well viewed radiology content in February 2026.

In a recent interview, Nina Kottler, M.D., discussed the agility of agentic AI to achieve system-level goals in radiology, the need for transparency and how agentic AI may affect the future of radiology.

Noting the significant gap of subspecialty radiology expertise in rural health-care settings, this author says improved interoperability between systems can facilitate equity of care without adding significant capital costs.

Whether it’s assuming an annual pay increase or assuming that AI won’t affect one’s job, the old adage that the only guarantee in life is change remains the more reliable truth.