Offering a variety of AI-enabled tools to facilitate radiology workflow efficiency, the BlueSeal MRI system is reportedly the first wide bore, helium-free 1.5T MRI platform in the field.
Combining artificial intelligence (AI) enhancements for workflow efficiency with a lightweight design and helium-free operation, Philips will unveil the next-generation BlueSeal MRI system at the upcoming 2024 Radiological Society of North America (RSNA) annual meeting in Chicago.
Emphasizing an eco-friendly design, the BlueSeal 1.5T 70 cm MRI system is up to 1,700 kg lighter than comparable systems and the system’s lack of a need for a vent pipe provides additional flexibility with installation, according to Philips.
Philips emphasized that the BlueSeal MRI system also offers a variety of AI-enabled features including:
• automated planning, scanning and image processing for up to 80 percent of MRI procedures with the SmartExam feature;
• a SmartSpeed feature that enables up to 65 percent higher image resolution without additional scan time; and
• integrated imaging and reading with the cloud-based SmartReading technology, which also facilitates enhanced precision diagnosis of neurological conditions and prostate cancer through partnerships with icometrix and Quibim.
“With AI applications seamlessly integrated into our latest 1.5T BlueSeal scanner, we have now applied AI to every aspect of the MRI workflow – from patient setup and high-resolution image capture to quantitative data extraction, advanced diagnostics, and reporting. With this latest innovation, we continue our commitment to deliver wider access to quality MRI to more patients across multiple settings,” noted Ioannis Panagiotelis, Ph.D., the global business leader of MRI at Philips.
Seven Takeaways from New CT and MRI Guidelines for Ovarian Cancer Staging
January 20th 2025In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.
Can Generative AI Facilitate Simulated Contrast Enhancement for Prostate MRI?
January 14th 2025Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.
Can MRI Have an Impact with Fertility-Sparing Treatments for Endometrial and Cervical Cancers?
January 9th 2025In a literature review that includes insights from recently issued guidelines from multiple European medical societies, researchers discuss the role of magnetic resonance imaging (MRI) in facilitating appropriate patient selection for fertility-sparing treatments to address early-stage endometrial and cervical cancer.