Imaging

Companies in November announced new efforts to fine-tune foundational models to advance radiology intelligence and implement baked-in security for cloud environments and medical devices. They're also using AI to protect patients.

By adding Intelerad’s outpatient imaging and cloud interoperability capabilities to its offerings in 2026, GE says it aims to accelerate precision care while improving care team efficiencies and patient outcomes.

AI can play a key role in reducing workforce strain, enhancing diagnostic precision and streamlining workflows for radiology teams. A recent GE HealthCare webinar revealed how leading departments now use AI technology to transform their operations.

Also, one of New Zealand's largest private radiology providers is implementing an integrated workforce management system.

The hospital has continued to see growth in scans at multiple locations – meaning it is holistically seeing more patients who need this essential follow-up care, says its director of advanced cardiovascular imaging.

Extending previous dermatology AI foundation work, the new model connects scans, records, and clinical notes within a unified framework to improve data-driven decision-making nationwide.

Also, the NSW state is helping foster cultural sensitivity among clinicians through virtual reality training.

Also, Chulalongkorn University has launched long-read genome sequencing to screen newborns for genetic diseases.

Mass General Brigham AI and the University of Wisconsin–Madison will help to refine the company's latest foundational MRI research model.

It seeks an integrated platform that enables consistent and scalable AI adoption across radiology services nationwide.