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Imaging

Floating Table Upgrade Advances Imaging Throughput

Radiology departments continue to face mounting volume, staffing constraints, and budget pressure. A six-way floating table now integrated into the Carestream Horizon X-ray System targets those challenges by improving patient positioning, reducing technologist effort, and limiting motion artefacts that degrade diagnostic clarity.

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AI Elevates Tomosynthesis Cancer Detection

Digital breast tomosynthesis entered U.S. screening programs with the promise of sharper lesion visualization and fewer unnecessary recalls. Despite those gains, interval breast cancers, tumors discovered symptomatically after a negative exam and before the next scheduled visit, continue to undermine clinical and financial goals.

Aneurysm AI Challenge Sets New Bar for Multimodal Imaging Research

The Radiological Society of North America (RSNA) has issued a global call to data scientists, launching the 2025 Intracranial Aneurysm Detection AI Challenge in partnership with the American Society of Neuroradiology, the European Society of Neuroradiology, and the Society of Neurointerventional Surgery.

Post COVID CT Requires Global Low Dose Discipline

Chest CT is the linchpin for evaluating lingering respiratory complaints after acute SARS-CoV-2 infection, yet practices vary widely by country, vendor platform and radiologist preference. A new international consensus statement published in Radiology by the Radiological Society of North America aligns 14 nations on when to scan, how to scan and what to call the residual shadows that can persist for months.

Radiologists Share Tips to Prevent AI Bias

“AI has the potential to revolutionize radiology by improving diagnostic accuracy and access to care,” said lead author Paul H. Yi, M.D., associate member (associate professor) in the Department of Radiology and director of Intelligent Imaging Informatics at St. Jude Children’s Research Hospital in Memphis, Tennessee. “However, AI algorithms can sometimes exhibit biases, unintentionally disadvantaging certain groups based on age, sex or race.”

Shorter MRI Exam Effectively Detects Cancer in Dense Breasts

Abbreviated breast MRI shortens exam time while retaining a high level of diagnostic accuracy of breast cancer in women with extremely dense breasts, according to an article published today in Radiology, a journal of the Radiological Society of North America (RSNA).

Fine-tuned LLMs Boost Error Detection in Radiology Reports

A type of artificial intelligence called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published today in Radiology, a journal of the Radiological Society of North America (RSNA). Researchers said the findings point to an important role for this technology in medical proofreading.

UVA Health University Medical Center Expands MRI Suite

To improve the patient experience and access to care, UVA Health University Medical Center has opened an expanded magnetic resonance imaging (MRI) suite that will better accommodate the thousands of patients receiving these scans annually. MRIs are a non-invasive imaging technique used to detect and diagnose health conditions throughout the body, as well as to monitor the progress of certain treatments.

Philips and NVIDIA’s MRI Foundation Model Signals a Platform Shift in Imaging AI

On May 14, 2025, Philips and NVIDIA announced a strategic partnership to co-develop a domain-specific foundation model for magnetic resonance imaging (MRI), targeting what both companies describe as the next generation of intelligent radiology infrastructure (Philips, 2025). The initiative fuses NVIDIA’s VISTA-3D and MAISI platforms with Philips’ clinical imaging datasets and workflow integrations, aiming to produce a large-scale neural network that enables faster scans, zero-click anatomical planning, and automated anomaly detection.

Special Report Highlights LLM Cybersecurity Threats in Radiology

In a new special report, researchers address the cybersecurity challenges of large language models (LLMs) and the importance of implementing security measures to prevent LLMs from being used maliciously in the health care system. The special report was published today in Radiology: Artificial Intelligence, a journal of the Radiological Society of North America (RSNA).

AI in Diagnostic Imaging and Pathology: A Strategic Imperative for Healthcare Leaders

As healthcare continues its digital transformation, artificial intelligence (AI) has moved from theoretical promise to operational reality—especially in diagnostic imaging and pathology. AI tools are no longer just experimental add-ons; they are now integral components in helping hospitals detect disease earlier, with greater accuracy, and at a lower cost. With increasing demands on radiology and pathology departments due to rising imaging volumes and workforce shortages, AI offers a much-needed lever for automation, standardization, and clinical support.

GE HealthCare Launches AI-Driven Invenia ABUS Premium to Accelerate Scanning and Drive Early Cancer Detection in Dense Breasts

GE HealthCare announced the launch of Invenia Automated Breast Ultrasound (ABUS) Premium, the latest 3D ultrasound offering advanced artificial intelligence (AI) and innovative features to drive faster*, reproducible supplemental screening and streamline exam readings on patients with dense breasts.

NVIDIA and GE HealthCare Collaborate to Advance the Development of Autonomous Diagnostic Imaging With Physical AI

“The healthcare industry is one of the most important applications of AI, as the demand for healthcare services far exceeds the supply,” said Kimberly Powell, vice president of healthcare at NVIDIA. “We are working with an industry leader, GE HealthCare, to deliver Isaac for Healthcare, three computers to give lifesaving medical devices the ability to act autonomously and extend access to healthcare globally.”

Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients

Denoised ultra-low dose CT can effectively diagnose pneumonia in immunocompromised patients using only 2% of the radiation dose of standard CT, according to a study published today in Radiology: Cardiothoracic Imaging, a journal of the Radiological Society of North America (RSNA).

GE HealthCare Unveils Freelium

GE HealthCare unveiled Freelium,ii a next-generation sealed magnet platform, that aims to enable high-quality Magnetic Resonance (MR) imaging with less than 1% of helium used in conventional magnet technology to help support diagnostic accuracy and sustainability goals. Debuting at the European Congress of Radiology (ECR), Freelium marks the evolution of GE HealthCare’s established lightweight intelligent platform magnet technology, which was first introduced in 2020, now with over 2,000 installations worldwide at 1.5T and 3.0T magnetic fields.