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.
Catch up on the top radiology content of the past week.
In a recent interview, Nina Kottler, MD, discussed the challenges with traditional radiology reporting, its impact on cognitive load and the recently launched AI-enabled platform Mosaic Reporting.
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.
In recent interviews, Emanuel Kanal, MD, and Tobias Gilk, MRSO, MRSE, noted a lack of point-of-care safety requirements for MRI, a lack of state oversight, and a prevailing lack of minimum standards overall for MRI safety.
What's already being done with large language models in radiology practice today.
Are you on the right path to financial independence and retiring early?
Do you embrace challenges and change or settle and wallow in your diagnostic comfort zone?
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 a recent interview, Andrew Del Gaizo, MD, and Nicholas Galante, MD, shared their thoughts and perspectives on increasing imaging volume, the sunsetting of PowerScribe 360, AI hype and promise, and potential opportunities in radiology.
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.
