The US Government, industry, academia and radiology societies have worked together to publish a report that provides a blueprint for translational research on artificial intelligence (AI) in medical imaging.

The report focuses on research using big data, the Cloud and machine learning to enhance clinicians’ image planning and use for diagnoses or evaluation of patient response to therapy.

Discover B2B Marketing That Performs

Combine business intelligence and editorial excellence to reach engaged professionals across 36 leading media platforms.

Find out more

It follows an initial report published last month to map a path for foundational research in AI.

Report co-author and National Institute of Biomedical Imaging and Bioengineering (NIBIB) research sciences and strategic directions director Krishna Kandarpa said: “Radiology has transformed the practice of medicine in the past century, and AI has the potential to radically impact radiology in positive ways.

“This roadmap is a timely survey and analysis by experts at federal agencies and among our industry and professional societies will help us take the best advantage of AI technologies as they impact the medical imaging field.”

According to the authors, AI can be applied across the radiology process, including in clinical decision, diagnostic imaging, preparation of patients for procedures, scans, interpretation of imaging results and workflow management.

GlobalData Strategic Intelligence

US Tariffs are shifting - will you react or anticipate?

Don’t let policy changes catch you off guard. Stay proactive with real-time data and expert analysis.

By GlobalData

The new report covers algorithms to detect and classify diseases, optimise images, cut radiation and improve workflow.

The authors suggest that researchers should determine approaches to promote data sharing for training and testing AI algorithms in a bid to allow ‘generalisability’ and reduce unintended bias.

“AI has the potential to radically impact radiology in positive ways.”

Furthermore, tools to validate and monitor the performance of AI algorithms for regulatory approval, and standards and common data elements for integration of AI solutions into current clinical workflows have been suggested.

Academy of Radiology & Biomedical Imaging Research vice-president Eugene Pendergrass noted: “It will take a true public-private partnership to realise the tremendous potential contribution of AI to transform medical imaging, and this roadmap is the first step in that direction.”

Medical Device Network Excellence Awards - Nominations Closed

Nominations are now closed for the Medical Device Network Excellence Awards. A big thanks to all the organisations that entered – your response has been outstanding, showcasing exceptional innovation, leadership, and impact

Excellence in Action
HemoSonics has won the 2025 Marketing Award for its impactful promotion of theQuantra Hemostasis System and leadership in blood management education. See how targeted campaigns, thought leadership content, and hands on clinician training are accelerating Quantra’s market traction and shaping the future of hemostasis testing.

Discover the Impact