The Definium 656 HD fixed X-ray system reportedly features enhanced, artificial intelligence (AI)-driven image processing, facilitates radiology workflows, and reduces patient positioning time.
Offering the promise of improved efficiency with in-room workflows, reduced strain with patient positioning and robust image quality, GE Healthcare has introduced a new fixed X-ray system with Definium 656 HD.
In order to alleviate some of the physical demands with patient positioning and ensure optimal image capture, the Definium 656 HD system offers a variety of features. GE Healthcare said these features include: 5-axis motorization and automatic positioning; a 12” touchscreen on the tube head console that facilitates automated adjustments to in-room workflows; and 3D camera technology through the system’s Intelligent Workflow Suite that enables more consistent image quality and prevents unnecessary repeat X-rays.
The Definium 656 HD platform incorporates artificial intelligence (AI) to provide enhanced anatomic detail and clarity through the use of Helix 2.2 advanced image processing and 100 um FlashPad HD detectors, according to the company.
GE Healthcare said other benefits of the Definium 656 HD system include multi-level image slice capabilities with the VolumeRAD™ Digital Tomosynthesis feature and the enhancement of the Auto Image Paste feature with AutoSpine, which facilitates precise and efficient stitching of long images.
“(The Definium 656 HD system) enables healthcare providers to benefit from the highest levels of motorization, automation, assistive intelligence, and advanced applications offered to date in GE Healthcare’s fixed X-ray portfolio,” noted Tanya Lancaster, the general manager for Fixed X-Ray at GE Healthcare. “Not only does the system provide optimal image quality, but it can also reduce the physical workload for (clinicians) and streamline the overall exam workflow.”
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.
New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection
April 15th 2025Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.